School of Computer Science and Engineering

Research

Journal Publications (SCI Indexed)

Year 2024

  1. Sheeba A., Bushra S.N., Rajarajeswari S., Subasini C.A., An efficient starling murmuration-based secure web service model for smart city application using DBN, Artificial Intelligence Review, 2024 (IF: 12)
  2. Arthur M.P., Shoba S., Pandey A, A survey of smart dustbin systems using the IoT and deep learning, Artificial Intelligence Review, 2024 (IF: 12)
  3. Joe Dhanith P.R., Saeed K., Rohith G., Raja S.P., Weakly supervised learning for an effective focused web crawler, Engineering Applications of Artificial Intelligence, 2024 (IF: 8.0)
  4. Sonai V., Bharathi I., Uchimucthu M., Sountharrajan S., Bavirisetti D.P., CTLA: Compressed Table Look up Algorithm for Open Flow Switch, IEEE Open Journal of the Computer Society, 2024 (IF: 5.9)
  5. Amma N.G. B., En-RfRsK: An ensemble machine learning technique for prognostication of diabetes mellitus, Egyptian Informatics Journal, 2024 (IF: 5.2)
  6. Sharen H., Jawahar M., Jani Anbarasi L., Ravi V., Saleh Alghamdi N., Suliman W., FDUM-Net: An enhanced FPN and U-Net architecture for skin lesion segmentation, Biomedical Signal Processing and Control, 2024 (IF: 5.1)
  7. Prusty M.R., Pandey T.N., Lekha P.S., Lellapalli G., Gupta A., Scalar invariant transform based deep learning framework for detecting heart failures using ECG signals, Scientific Reports, 2024 (IF: 4.6)
  8. Nanjappan M., Pradeep K., Natesan G., Samydurai A., Premalatha G., DeepLG SecNet: utilizing deep LSTM and GRU with secure network for enhanced intrusion detection in IoT environments, Cluster computing, 2024 (IF: 4.4)
  9. Renjith P.N., Alfurhood B.S., Prashanth K.V., Patil V.S., Sharma N., Chaturvedi A., Coordination of modular nano grid energy management using multi-agent AI architecture, Computers and Electrical Engineering, 2024 (IF: 4.3)
  10. Chandra Umakantham O.K., Gajendran S., Marappan S., Enhancing Intrusion Detection through Federated Learning with Enhanced Ghost_BiNet and Homomorphic Encryption, IEEE Access, 2024 (IF: 3.9)
  11. Balasubramanian P., Chinthan P., Badarudeen S., Sriraman H, A systematic literature survey on recent trends in stock market prediction, PeerJ Computer Science, 2024(IF: 3.8)
  12. Prithvika P.C.S., Anbarasi L.J., V-3DResNets: a 3D convolutional neural network based on residual network variants and slice grouping for pulmonary nodule detection, Multimedia Tools and Applications, 2024 (IF: 3.6)
  13. Dhanith P.R.J., Surendiran B., Rohith G., Kanmani S.R., Devi K.V., A Sparse Self-Attention Enhanced Model for Aspect-Level Sentiment Classification, Neural Processing Letters, 2024 (IF: 3.1)
  14. Krishnan P.T., Erramchetty S.K., Balusa B.C., Advanced framework for epilepsy detection through image-based EEG signal analysis, Frontiers in Human Neuroscience, 2024 (IF: 2.9)
  15. Radhakrishnan R., Thirunavukkarasu M., Thandaiah Prabu R., Ramkumar G., Saravanakumar S., Gopalan, Pixel Reduction of High-Resolution Image Using Principal Component Analysis, Journal of the Indian Society of Remote Sensing, 2024 (IF:2.5)
  16. Pandi Ravichandran V., Velayudham N., Velayudham P., On the design and analysis of a miniaturized ultra-wideband (UWB) antenna using quatrefoil-shaped nonuniform meta-surfaces for body-centric communications, International Journal of Communication Systems, 2024 (IF: 2.1)
  17. Meenakshi K., Revathi M., Harsha S.S., Tamilarasi K., Shanthi T.S., Sugumar D., Suriyakrishnaan K., Maheswari B.U., Rajaram A, Hybrid machine learning approach for trust evaluation to secure MANET from routing attacks, Journal of Intelligent and Fuzzy Systems, 2024 (IF: 2.0)
  18. Arulalan V., Premanand V., Kumar D., Object detection and tracking using TSM – EFFICIENTDET and JS -KM in adverse weather conditions, Journal of Intelligent and Fuzzy Systems, 2024 (IF: 2.0)
  19. Nagarajan S.M., Jerlin M.A., Devarajan G.G., Sivakami R., Tiwari R.S., Efficiency Improvisation of Large-Scale Knowledge Systems in Feature Determination using Proposed HVGAN Architecture, Journal of Information and Knowledge Management, 2024 (IF: 1.2)
  20. Nagarajan S.M., Devarajan G.G., T.V. R., M. A.J., Bashir A.K., Al-Otaibi Y.D. Adversarial Deep Learning based Dampster–Shafer data fusion model for intelligent transportation system, Information Fusion, 2024 (IF: 18.6)
  21. Elakkiya M.K., Dejey, Novel deep learning models with novel integrated activation functions for autism screening: AutiNet and MinAutiNet, Expert Systems with Applications, 2024 (IF: 8.5)
  22. Harkat H., Camarinha-Matos L.M., Goes J., Ahmed H.F.T., Cyber-physical systems security: A systematic review, Computers and Industrial Engineering, 2024 (IF: 7.9)
  23. Abdullah A.S, Aziz A.B A., Geetha S, DecentraliDrone: A decentralized, fully autonomous drone delivery system for reliable, efficient transport of goods, Alexandria Engineering Journal, 2024 (IF: 6.8)
  24. Bhuvaneshwari K.S., Rama Parvathy L., Chatrapathy K., Krishna Reddy C.V., An internet of health things-driven skin cancer classification using progressive cyclical convolutional neural network with ResNexT50 optimized by exponential particle swarm optimization Biomedical Signal Processing and Control, 2024 (IF: 5.1)
  25. Rabie O.B.J., Selvarajan S., Hasanin T., Alshareef A.M., Yogesh C.K., Uddin M., A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models, Scientific Reports, 2024 (IF: 4.6)
  26. Ganapathy S., Ajmera D., An Intelligent Video Surveillance System for Detecting the Vehicles on Road Using Refined YOLOV4, Computers and Electrical Engineering, 2024 (IF: 4.3)
  27. Ravikumar A., Sriraman H., DPro-SM – A distributed framework for proactive straggler mitigation using LSTM, Heliyon, 2024 (IF: 4.0)
  28. Premalatha M., Jayasudha M., Čep R., Priyadarshini J., Kalita K., Chatterjee P., A comparative evaluation of natureinspired algorithms for feature selection problems, Heliyon, 2024 (IF: 4.0)
  29. Agarwal I., Singh A., Agarwal A., Mishra S., Satapathy S.K., Prusty M.K., Mohanty S.N. Enhancing Road Safety and Cybersecurity in Traffic Management Systems: Leveraging the Potential of Reinforcement Learning, IEEE Access, 2024 (IF: 3.9)
  30. Sen A.; Rajakumaran G.; Mahdal M.; Usharani S.; Rajasekharan V.; Vincent R.; Sugavanan K., Live Event Detection for People’s Safety Using NLP and Deep Learning, IEEE Access, 2024 (IF: 3.9)
  31. ChandraUmakantham O., Singh I., Marappan S., Optimizing Patient Recruitment for Clinical Trials: A Hybrid Classification Model and Game-Theoretic Approach for Strategic Interaction, IEEE Access, 2024 (IF: 3.9)
  32. Sivakumar V., Yogesh C.K., Vatchala S., Kaliraj S., An efficient lung image classification and detection using spiral-optimized Gabor filter with convolutional neural network, International Journal of Imaging Systems and Technology, 2024 (IF: 3.3)
  33. Balasundaram A.; Mohanty A.; Shaik A.; Pradeep K.; Vijayakumar K.P.; Kavitha M.S., Zero-DCE++ Inspired Object Detection in Less Illuminated Environment Using Improved YOLOv5, Computers, Materials and Continua, 2024 (IF: 3.1)
  34. Prusty M.R.; Dinesh R.; Sheth H.S.K.; Viswanath A.L.; Satapathy S.K., Nuclei Segmentation in Histopathology Images Using Structure-Preserving Color Normalization Based Ensemble Deep Learning Frameworks, Computers, Materials and Continua, 2024 (IF: 3.1)
  35. Deepa K.R., Padma S., Sridevi S., Ayyanar N., Design of THz photonic crystal fiber based biosensor for detection of brain tissues and behavior characterization with Machine learning approach, Optical and Quantum Electronics, 2024 (IF: 3.0)
  36. Gnanasekaran P., Varunkumar K.A., Rajendran N., Priyadarshini R., Macherla S. Optoelectronic-aided machine learning based stable routing protocol for MANET and beyond massive MIMO systems in 5G networks, Optical and Quantum Electronics, 2024 (IF: 3.0)
  37. Prakash P., Prabu P., Sakthivel V., Sivakumar R., An efficient deep learning based stress monitoring model through wearable devices for health care applications, Optical and Quantum Electronics, 2024 (IF: 3.0)
  38. Balaji P., Ranjan Prusty M., Multimodal fusion hierarchical self-attention network for dynamic hand gesture recognition, Journal of Visual Communication and Image Representation, 2024 (IF: 2.6)
  39. Ganesh N., Shankar R., Mahdal M., Murugan J.S., Chohan J.S., Kalita K., Exploring Deep Learning Methods for Computer Vision Applications across Multiple Sectors: Challenges and Future Trends CMES – Computer Modeling in Engineering and Sciences, 2024 (IF: 2.4)
  40. Birunda S.S., Devi R.K., Muthukannan M., An efficient model for detecting COVID fake news using optimal lightweight convolutional random forest Signal, Image and Video Processing, 2024 (IF: 2.3)
  41. Kavitha J.C., Subitha D., Lesion detection and classification in dermoscopic images using optimal threshold based on Newton Raphson iterative method, Journal of Intelligent and Fuzzy Systems, 2024 (IF: 2.0)
  42. Mahenthiran P., Muruganadam D., Handoff performance analysis of PMIPv6- based distributed mobility management protocol-urban scenario, Concurrency and Computation: Practice and Experience, 2024 (IF: 2.0)
  43. Sudhakaran S., Maheswari R., Kanchana Devi V., An improvised analysis of smart data for IoTbased railway system using RFID Automatika, 2024 (IF: 1.9)
  44. Damodaran S., Shanmugam L., Swaroopan N.M.J., Overhead power line detection from aerial images using segmentation approaches Automatika, 2024 (IF: 1.9)
  45. S, Venkatraman ;V, Kandasamy ; J, Rajalakshmi; S, Sabarunisha Begum; M, Sujatha, Assessment of urban heat island using remote sensing and geospatial application: A case study in Sao Paulo city, Brazil, South America, Journal of South American Earth Sciences, 2024 (IF: 1.8)
  46. Babu P; Columbus C; Lakshmi S.R; ColumbusJ. Windturbine Fault Modeling and Classification Using Cuckoo-Optimized Modular Neural Networks Revue Roumaine des Sciences Techniques Serie Electrotechnique et Energetique, 2024 (IF: 0.7)

Year 2023

  1. Pandiyaraju V.; Ganapathy S.; Mohith N.; Kannan A, An optimal energy utilization model for precision agriculture in WSNs using multiobjective clustering and deep learning, Journal of King Saud University – Computer and Information Sciences, 2023 (IF: 6.9)
  2. Kumari R.; Sah D.K.; Gupta S.; Cengiz K.; Ivkovic N., Advancing Medical Recommendations With Federated Learning on Decentralized Data: A Roadmap for Implementation, IEEE Transactions on Consumer Electronics, 2023 (IF: 4.3)
  3. Maiti M.; Priyaadharshini M.; S H., Design and evaluation of a revised ARCS motivational model for online classes in higher education, Heliyon, 2023 (IF: 4.0)
  4. Krithiga R.; Varsini S.; Gabriel Joshua R.; OmKumar C.U., Ancient Character Recognition: A Comprehensive Review, IEEE Access, 2023 (IF: 3.9)
  5. Anand R.V.; Md A.Q.; Urooj S.; Mohan S.; Alawad M.A.; C A., Enhancing Diagnostic Decision-Making: Ensemble Learning Techniques for Reliable Stress Level Classification Diagnostics, 2023 (IF: 3.6)
  6. Kavitha D.; Geetha S.; Geetha R.; Kadry S Dynamic neuro fuzzy diagnosis of fetal hypoplastic cardiac syndrome using ultrasound images Multimedia Tools and Applications, 2023 (IF: 3.6)
  7. Senthilkumar G.; Tamilarasi K.; Periasamy J.K., Cloud intrusion detection framework using variational auto encoder Wasserstein generative adversarial network optimized with archerfish hunting optimization algorithm, Wireless Networks, 2023 (IF: 3.0)
  8. Vijayakumar K.P.; Pradeep K.; Balasundaram A.; Dhande A., R-CNN and YOLOV4 based Deep Learning Model for intelligent detection of weaponries in real time video Mathematical Biosciences and Engineering, 2023 (IF: 2.6)
  9. Gupta S.; Patel N.; Kumar A.; Jain N.K.; Dass P.; Hegde R.; Rajaram A., Adaptive fuzzy convolutional neural network for medical image classification, Journal of Intelligent and Fuzzy Systems, 2023 (IF: 2.0)
  10. Bhavadharini R.M.; Mercy Rajaselvi Beaulah P.; Om Kumar C.U.; Krithiga R, An obstacle aware efficient MANET routing with optimized Bi-LSTM and multi-objective constraints on improved heuristic algorithm, Journal of Ambient Intelligence and Smart Environments, 2023 (IF: 1.7)
  11. Amutha S.; Vikram Surya R, An Improved Product Recommender System Using Collaborative Filtering and a Comparative Study of ML Algorithms, Cybernetics and Information Technologies, 2023 (IF: 1.2)
  12. Vengadesan E., Dhinakaran V., Senthil S., Renugadevi P., Senthil R. Performance augmentation of solar air heater using absorber with multifunctional encapsulated PCM tubes, Journal of Energy Storage, 2023 (IF: 9.40)
  13. Om Kumar C.U., Gajendran S., Bhavadharini R.M., Suguna M., Krithiga R. EHR privacy preservation using federated learning with DQRE-Scnet for healthcare application domains Knowledge-Based Systems, 2023 (IF: 8.80)
  14. Hemalatha S., V. M.A., An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction Artificial Intelligence in Medicine, 2023 (IF: 7.50)
  15. S A.K., Prathiba S.B., Moorthy R.S., Srivastava G., Gadekallu T.R., Software Defined Networking Assisted Electric Vehicle Charging: Towards Smart Charge Scheduling and Management IEEE Transactions on Network Science and Engineering, 2023 (IF: 6.60)
  16. Benil T., Jasper J. Blockchain based secure medical data outsourcing with data deduplication in cloud environment Computer Communications, 2023 (IF: 6.0)
  17. Ramkumar G., Seetha J., Priyadarshini R., Gopila M., Saranya G. IoT-based patient monitoring system for predicting heart disease using deep learning Measurement Journal of the International Measurement Confederation, 2023 (IF: 5.60)
  18. Hariharan M., Mishra A., Ravi S., Sharma A., Tanwar A., Sundaresan K., Ganesan P., Karthik R. Detecting log anomaly using subword attention encoder and probabilistic feature selection Applied Intelligence N, 2023 (IF: 5.30)
  19. Sellamuthu S., Vaddadi S.A., Venkata S., Petwal H., Hosur R., Mandala V., Dhanapal R., Singh J. AI-based recommendation model for effective decision to maximise ROI Soft Computing, 2023 (IF: 4.10)
  20. Desai D.D., Dey J., Satapathy S.K., Mishra S., Mohanty S.N., Mishra P., Panda S.K Optimal Ambulance Positioning for Road Accidents With Deep Embedded Clustering IEEE Access, 2023 (IF: 3.90)
  21. Krithiga R., Geetha P. Proliferation score prediction using novel SMHC feature using adaptive XGBoost model Multimedia Tools and Applications, 2023 (IF: 3.60)
  22. Dhanushkodi K., Sethuraman R., Mariappan P., Govindarajan A. An efficient cat hunting Otimizationbiased ReLU neural network for healthcare monitoring system Wireless Networks, 2023 (IF: 3.0)
  23. Markkandeyan S., Gupta S., Narayanan G.V., Reddy M.J., Al-Khasawneh M.A., Ishrat M., Kiran A Deep learning based semantic segmentation approach for automatic detection of brain tumor International Journal of Computers, Communications and Control, 2023 (IF: 2.70)
  24. Ramamurthy K., Muthuswamy A., Mathimariappan N., Kathiresan G.S., A novel two-staged network for skin disease detection using atrous residual convolutional networks Concurrency and Computation: Practice and Experience, 2023 (IF: 2.0)
  25. Harkat H., Nascimento J.M.P., Bernardino A., Ahmed H.F.T. Fire images classification based on a handcraft approach, Expert Systems with Applications, 2023, (IF: 8.665)
  26. Md A.Q., Kapoor S., A.V. C.J.,Sivaraman A.K., Tee K.F., Sabireen H., Janakiraman N. “Novel optimization approach for stock price forecasting using multi-layered sequential LSTM” Applied Soft Computing, 2023,(IF: 8.263)
  27. Shibu George G., Raj Mishra P., Sinha P., Ranjan Prusty M.”COVID-19 detection on chest X-ray images using Homomorphic Transformation and VGG inspired deep convolutional neural net Biocybernetics and Biomedical Engineering, 2023, (IF: 5.687)
  28. Shaik A.L.H.P., Manoharan M.K., Pani A.K., Avala R.R., Chen C.-M. Gaussian Mutation–Spider Monkey Optimization (GM-SMO) Model for Remote Sensing Scene Classification Remote Sensing, 2023,(IF: 5.349)
  29. Faizal S., Rajput C.A., Tripathi R., Verma B., Prusty M.R., Korade S.S.”Automated cataract disease detection on anterior segment eye images using adaptive thresholding and fine tuned inception-v3 model” Biomedical Signal Processing and Control, 2023, (IF: 5.076)
  30. Dhanalakshmi R., Samanta S., Sivaraman A.K., Lee J.G., Balasundaram A., Tanaji S.S., Ravindran P.” Multi-attribute Group Decision-making Based on Hesitant Bipolar-valued Fuzzy Information and Social Network Computer Systems Science and Engineering, 2023,(IF: 4.397)
  31. Venkatesh A., Asha S. DERNNet: Dual Encoding Recurrent Neural Network Based Secure Optimal Routing in WSN Computer Systems Science and Engineering 2023,(IF: 4.397)
  32. Harshini V., Dhanwin T., Shahina A., Safiyyah N., Khan A.N. “Efficient Authentication System Using Wavelet Embeddings of Otoacoustic Emission Signals” Computer Systems Science and Engineering” 2023,(IF: 4.397)
  33. Ananthakrishnan B., Shaik A., Akhouri S., Garg P., Gadag V., Kavitha M.S” Automated Bone Marrow Cell Classification for Haematological Disease Diagnosis Using Siamese Neural Network” Diagnostics, 2023, (IF: 3.992)
  34. Raymann J., Rajalakshmi R.”GAR-Net: Guided Attention ResidualNetwork for Polyp Segmentation from Colonoscopy Video Frames” Diagnostics, 2023,(IF: 3.992)
  35. Kumar A., Md A.Q., Jackson J.C., Iwendi C. Predicting and Curing Depression Using Long Short Term Memory and Global Vector Computers, Materials and Continua, 2023,(IF: 3.860)
  36. Priyadarsini K., Sivaraman A.K., Md A.Q., Malibari A. Securing 3D Point and Mesh Fog Data Using Novel Chaotic Cat Map Computers, Materials and Continua 2023, (IF: 3.860)
  37. Monica K.M., Parvathi R. Efficient Gait Analysis Using Deep Learning Techniques Computers, Materials and Continua, 2023, (IF: 3.860)
  38. Mahesh A., Banerjee D., Saha A., Prusty M.R., Balasundaram A. CE-EEN-B0:Contour Extraction Based Extended EfficientNet-B0 for Brain Tumor Classification Using MRI Images Computers, Materials and Continua, 2023, (IF: 3.860)
  39. Sandhya S., Balasundaram A., Shaik A. Deep Learning Based Face Detection and Identification of Criminal Suspects Computers, Materials and Continua, 2023, (IF: 3.860)
  40. Tyagi A.K., Dananjayan S., Agarwal D., Thariq Ahmed H.F. Blockchain—Internet of Things Applications: Opportunities and Challenges for Industry 4.0 and Society 5.0″ Sensors, 2023,(IF: 3.847)
  41. Liakath J.A., Krishnadoss P., Natesan G. DCCWOA:A multi-heuristic fault tolerant scheduling technique for cloud computing environment Peer-to-Peer Networking and Application, 2023, (IF: 3.488)
  42. Kapadia A.M., Nithyanandam P. A Recursive High Payload Reversible Data Hiding Using Integer Wavelet and Arnold Transform          Intelligent Automation and Soft Computing, 2023, (IF: 3.401)
  43. Rajalakshmi R., Selvaraj S., Faerie Mattins R., Vasudevan P., Anand Kumar M. HOTTEST: Hate and Offensive content identification in Tamil using Transformers and Enhanced Stemming Computer Speech and Language, 2023, (IF: 3.252)
  44. Tamilarasi K., Shinzeer C.K., Wongchai A., Azhagumurugan R., Yesubabu M., Singh B., Arumugam M. OFDM and MIMO wireless communication performance measurement using enhanced selective mapping based partial transmit sequences Optik, 2023, (IF: 2.840)
  45. Vishwakarma S., Goswami R.S., Dutta S., Sakthivel V., Prakash P., Vijayakumar P., Thangavelu L.” Cloud data storage with improved resource scheduling in healthcare application based on security system Optik, 2023, (IF: 2.840)
  46. Balasundaram A., Srinivasan S., Prasad A., Malik J., Kumar A. Hippocampus Segmentation-Based Alzheimer’s Disease Diagnosis and Classification of MRI Images Arabian Journal for Science and Engineering, 2023, (IF: 2.807)
  47. Kavitha D., Priyadharshini M., Anitha R., Suma S., Prema V., Vidhya A.”Adaptive DBN Using Hybrid Bayesian Lichtenberg Optimization for Intelligent Task Allocation” Neural Processing Letters, 2023, (IF: 2.565)
  48. Ratnavel R., Viswanath S., Subramanian J., Selvaraj V.K., Prahasam V., Siddharth S.Predicting the Optimal Input Parameters for the Desired Print Quality Using Machine Learning Micromachines, 2023,(IF: 3.523)
  49. Arikumar K.S., Deepak Kumar A., Gadekallu T.R.,Prathiba S.B., Tamilarasi K. Real-Time 3D Object Detection and Classification in Autonomous Driving Environment Using 3D LiDAR and Camera Sensors Electronics (Switzerland), 2023, (IF: 2.69)
  50. Om Kumar C.U., Marappan S., Murugeshan B., Beaulah V.M.R” Intrusion Detection Model for IoT Using Recurrent Kernel Convolutional Neural Network” Wireless Personal Communications, 2023, (IF: 2.017)
  51. Ramamurthy K., Thekkath R.D., Batra S., Chattopadhyay S. A novel deep learning architecture for disease classification in Arabica coffee plants “Concurrency and Computation: Practice and Experience”, 2023, (IF: 1.831)
  52. Chandra S.S., Kannan R.J., Balaji B.S., Veeramachaneni S., Noor Mahammad S.Efficient design and analysis of secure CMOS logic through logic encryption Scientific Reports, 2023, (IF: 996)
  53. Patil A.S., Sundari G., Sivaraman A.K. Comparative Analysis of Execution of CNN-Based Sanguine Data Transmission with LSB-SS and PVD-SS Computer Systems Science and Engineering, 2023,(IF: 397)
  54. Ravikumar A., Sriraman H.”A Novel Mixed Precision Distributed TPU GAN for Accelerated Learning Curve” “Computer Systems Science and Engineering”, 2023, (IF: 397)
  55. Ibrahim A.Z., Prakash P., Sakthivel V., Prabu P. Integrated Approach of Brain Disorder Analysis by Using Deep Learning Based on DNA Sequence Computer Systems Science and Engineering, 2023, (IF: 397)
  56. Agrawal R., Faujdar N., Romero C.A.T., Sharma O., Abdulsahib G.M.,Classification and comparison of ad hoc networks: A review Egyptian Informatics Journal Impact Factor 4.195
  57. Ananthakrishnan B., Shaik A., Chakrabarti S., Shukla V., Paul D., Kavitha M.S.Smart Diagnosis of Adenocarcinoma Using Convolution Neural Networks and Support Vector Machines Sustainability (Switzerland) , 2023, (IF: 889)
  58. Boruah S., Dehloo A., Gupta P., Prusty M.R., Balasundaram A.Gaussian Blur Masked ResNet2.0 Architecture for Diabetic Retinopathy Detection” Computers, Materials and Continua”, 2023, (IF: 860)
  59. Ravikumar A., Sriraman H.”Attenuate Class Imbalance Problem for Pneumonia Diagnosis Using Ensemble Parallel Stacked Pre-Trained Models” Computers, Materials and Continua, 2023, (IF: 860)
  60. Gayathri R., Usharani S., Mahdal M., Vezhavendhan R., Vincent R., Rajesh M., Elangovan M” Detection and Mitigation of IoT Based Attacks Using SNMP and Moving Target Defense Techniques” Sensors, 2023, (IF: 847)
  61. Vignesh B., Suganya G.Deep learning methodologies for crop models and decision support systems: A comprehensive review Soft Computing , 2023, (IF: 732)
  62. Shafiq M., Thakre K., Krishna K.R., Robert N.J., Kuruppath A., Kumar D. Continuous quality control evaluation during manufacturing using supervised learning algorithm for Industry 4.0 International Journal of Advanced Manufacturing Technology, 2023, (IF: 563)
  63. Shanmugam L., Balasubramaniam P.M., Shnain A.H., Abdulkader R., Alharbi M., Pustokhin D.A., Pustokhina I.V., Mohammed S., Sengan S.Solar-Powered LVDC Nano-Grid with Smart FPGA-based Residential Power Switching Algorithm IEEE Access, 2023, (IF: 476)
  64. Krishnamoorthy P., Satheesh N., Sudha D., Sengan S., Alharbi M., Pustokhin D.A., Pustokhina I.V., Setiawan R.Effective Scheduling of Multi-Load Automated Guided Vehicle in Spinning Mill: A Case Study IEEE Access , 2023, (IF: 476)
  65. Santoshi G.Mobile Sensor Nodes Traversal Schemes to Attend Events at Random Locations With Minimal Energy Depletion IEEE Access, 2023, (IF: 476)
  66. Kaur G., Braveen M., Krishnapriya S., Wawale S.G., Castillo-Picon J., Malhotra D., Osei-Owusu J. Machine Learning Integrated Multivariate Water Quality Control Framework for Prawn Harvesting from Fresh Water Ponds Journal of Food Quality, 2023, (IF: 200)
  67. Arikumar K.S., Prathiba S.B., Basheer S., Moorthy R.S., Dumka A., Rashid M. V2X-Based Highly Reliable Warning System for Emergency Vehicles Applied Sciences (Switzerland), 2023, (IF: 838)
  68. Priyadarshini J., Premalatha M., Čep R., Jayasudha M., Kalita K. Analyzing Physics-Inspired Metaheuristic Algorithms in Feature Selection with K-Nearest-Neighbor Applied Sciences            (Switzerland), 2023, (IF: 838)
  69. Md A.Q., Narayanan S.M.S.S., Sabireen H., Sivaraman A.K., Tee K.F.A novel approach to detect fraud in Ethereum transactions using stacking Expert Systems, 2023, (IF: 812)
  70. Abinaya S., Alphonse A.S., Abirami S., Kavithadevi M.K. Enhancing Context-Aware Recommendation Using Trust- Based Contextual Attentive Autoencoder Neural Processing Letters, 2023, (IF: 565)
  71. Satapathy S.K., Saravanan S., Mishra S., Mohanty S.N. A Comparative Analysis of Multidimensional COVID-19 Poverty Determinants: An Observational Machine Learning Approach” New Generation Computing, 2023, (IF: 180)
  72. Raja G., Saravanan G., Prathiba S.B., Akhtar Z., Khowaja S.A., Dev K. Smart Navigation and Energy Management Framework for Autonomous Electric Vehicles in Complex Environments IEEE Internet of Things, 2023, (IF: 238)
  73. Balasundaram A., Routray S., Prabu A.V., Krishnan P., Malla P.P., Maiti M. Internet of things (IoT) based Smart Healthcare System for Efficient Diagnostics of Health Parameters of Patients in Emergency Care IEEE Internet of Things, 2023, (IF: 238)
  74. Md A.Q., Kulkarni S., Joshua C.J., Vaichole T., Mohan S., Iwendi C. Enhanced Preprocessing Approach Using Ensemble Machine Learning Algorithms for Detecting Liver Disease Biomedicines, 2023, (IF: 757)
  75. Sonia J.J., Jayachandran P., Md A.Q., Mohan S., Sivaraman A.K., Tee K.F Machine-Learning-Based Diabetes Mellitus Risk Prediction Using MultiLayer Neural Network No-Prop Algorithm Diagnostics, 2023, (IF: 992)
  76. Ananthakrishnan B., Shaik A., Kumar S., Narendran S.O., Mattu K., Kavitha M.S Automated Detection and Classification of Oral Squamous Cell Carcinoma Using Deep Neural Networks Diagnostics, 2023, (IF: 992)
  77. Suganeshwari G., Balakumar R., Karuppanan K., Prathiba S.B., Anbalagan S., Raja G DTBV: A Deep Transfer-Based Bone Cancer Diagnosis System Using VGG16 Feature Extraction Diagnostics, 2023, (IF: 992)
  78. Anbalagan S., Srividya P., Thilaksurya B., Senthivel S.G., Suganeshwari G., Raja G. Vision-Based Ingenious Lane Departure Warning System for Autonomous Vehicles Sustainability (Switzerland), 2023, (IF: 889)
  79. Raja V.L., Kumar A.M.S., Kumari K.S., Bharanidharan R., Ezhilarasi P., Rajeshkannan S., Nithya T.M., Kumar S.V.Analytical and Neural Network Analysis on Flux-Coated Aluminium Alloy by Activated TIG Welding with Synthesized Nanocomposites Journal of Nanomaterials , 2023, (IF: 791)
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  88. Afiya S., Rajesh M MinLA of (K9-C9)n and its optimal layout into certain trees Journal of Supercomputing, 2023, (IF: 557)
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  93. Dhanith P.R.J., Prabha K.S.S.      A critical empirical evaluation of deep learning models for solving aspect based sentiment analysis, Artificial Intelligence Review, 2023 (IF:9.588)
  94. Kathirvelu K., Yesudhas A.V.P., Ramanathan S. Spectral unmixing based random forest classifier for detecting surface water changes in multitemporal pan sharpened Landsat image Expert Systems with Applications, 2023 (IF: 8.665)
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  96. Appadurai J.P., Suganeshwari G., Prabhu Kavin B., Kavitha C., Lai W.- C.Multi-Process Remora Enhanced Hyperparameters of Convolutional Neural Network for Lung Cancer Prediction, Biomedicines, 2023 (IF: 4.757)
  97. Prabu R.T., Sahoo S., Valarmathi K., Raj A.G.S., Ranjan P., Kumar A., Laref A          CsPbI3 perovskite solar cell and decoding its skink feature in J-V curve, Materials Science in Semiconductor Processing, 2023 (IF: 4.644)
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  99. Alphonse A.S., Benifa J.V.B., Muaad A.Y., Chola C., Heyat M.B.B., Murshed B.A.H., Abdel Samee N., Alabdulhafith M., Alantari M.A  A Hybrid Stacked Restricted Boltzmann Machine with Sobel Directional Patterns for Melanoma Prediction in Colored Skin Images, Diagnostics, 2023 (IF: 3.992)
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  108. Abinaya S., Indira K., Karthiga S., Rajasenbagam T. Time Cluster Personalized Ranking Recommender System in Multi-Cloud, Mathematics, 2023          (IF: 2.592)
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  110. Venkatachalam N., Shanmugam L., Heltin Genitha C., Kumar S.Automated Breast Boundary Segmentation to Improve the Accuracy of Identifying Abnormalities in Breast Thermograms, IETE Journal of Research, 2023 (IF: 1.877)
  111. Perumal K., Arockiasamy K.        Optimized deep neural network based DDoS attack detection and bait mitigation process in software defined network, Concurrency and Computation: Practice and Experience, 2023 (IF: 1.831)
  112. Ramalingam R., Saleena B., Basheer S., Balasubramanian P., Rashid M., Jayaraman G.EECHS-ARO: Energy-efficient cluster head selection mechanism for livestock industry using artificial rabbits optimization and wireless sensor networks   Electronic Research Archive, 2023, (IF: 1.604)
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  115. Dhanith P.R.J., Prabha K.S.S.      A critical empirical evaluation of deep learning models for solving aspect based sentiment analysis, Artificial Intelligence Review, 2023 (IF:9.588)
  116. Kathirvelu K., Yesudhas A.V.P., Ramanathan S. Spectral unmixing based random forest classifier for detecting surface water changes in multitemporal pan sharpened Landsat image Expert Systems with Applications, 2023 (IF: 8.665)
  117. Sabireen H., Venkataraman N. A Hybrid and Light Weight Metaheuristic Approach with Clustering for Multi-Objective Resource Scheduling and Application Placement in Fog Environment, Expert Systems with Applications, 2023 (IF: 8.665)
  118. Appadurai J.P., Suganeshwari G., Prabhu Kavin B., Kavitha C., Lai W.- C.Multi-Process Remora Enhanced Hyperparameters of Convolutional Neural Network for Lung Cancer Prediction, Biomedicines, 2023 (IF: 4.757)
  119. Prabu R.T., Sahoo S., Valarmathi K., Raj A.G.S., Ranjan P., Kumar A., Laref A          CsPbI3 perovskite solar cell and decoding its skink feature in J-V curve, Materials Science in Semiconductor Processing, 2023 (IF: 4.644)
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  121. Alphonse A.S., Benifa J.V.B., Muaad A.Y., Chola C., Heyat M.B.B., Murshed B.A.H., Abdel Samee N., Alabdulhafith M., Alantari M.A  A Hybrid Stacked Restricted Boltzmann Machine with Sobel Directional Patterns for Melanoma Prediction in Colored Skin Images, Diagnostics, 2023 (IF: 3.992)
  122. Md A.Q., Anand R.V., Mohan S., Joshua C.J., Girish S.S., Devarajan A., Iwendi C. Data-Driven Analysis of Privacy Policies Using LexRank and KL Summarizer for Environmental Sustainability, Sustainability (Switzerland), 2023       (IF: 3.889)
  123. Arumugham V., Ghanimi H.M.A., Pustokhin D.A., Pustokhina I.V., Ponnam V.S., Alharbi M., Krishnamoorthy P., Sengan S         An Artificial-Intelligence-Based Renewable Energy Prediction Program for Demand Side Management in Smart Grids, Sustainability (Switzerland), 2023 (IF: 3.889)
  124. H S., Venkataraman N. Proactive Fault Prediction of Fog Devices Using LSTM-CRP, Conceptual Framework for IoT Applications      Sensors, 2023 (IF: 3.847)
  125. Panda P., C U O.K., Marappan S., Ma S., S M., Veesani Nandi D.        Transfer Learning for Image-Based Malware Detection for IoT, Sensors, 2023 (IF: 3.847)
  126. Aswiga R.V., Karpagam M., Chandralekha M., Kumar C.S., Selvi M., Deena S An automatic detection and classification of diabetes mellitus using CNN, Soft Computing, 2023 (IF: 3.732)
  127. Shukla M., Kumar A.       An Experimental Analysis of Deep Neural Network Based Classifiers for Sentiment Analysis Task, IEEE Access, 2023 (IF 3.476)
  128. Chandrashekar C., Krishnadoss P., Kedalu Poornachary V., Ananthakrishnan B., Rangasamy K. HWACOA Scheduler: Hybrid Weighted Ant Colony Optimization Algorithm for Task Scheduling in Cloud Computing, Applied Sciences (Switzerland), 2023 (IF: 2.838)
  129. Rajeshwari S., Rajesh M. On Optimal Embeddings in 3-Ary n-Cubes, Mathematics, 2023 (IF: 2.592)
  130. Abinaya S., Indira K., Karthiga S., Rajasenbagam T. Time Cluster Personalized Ranking Recommender System in Multi-Cloud, Mathematics, 2023          (IF: 2.592)
  131. Ravikumar A., Sriraman H.          Real-time pneumonia prediction using pipelined spark and high-performance computing,  PeerJ Computer Science, 2023 (IF: 2.411)
  132. Venkatachalam N., Shanmugam L., Heltin Genitha C., Kumar S.Automated Breast Boundary Segmentation to Improve the Accuracy of Identifying Abnormalities in Breast Thermograms, IETE Journal of Research, 2023 (IF: 1.877)
  133. Perumal K., Arockiasamy K.        Optimized deep neural network based DDoS attack detection and bait mitigation process in software defined network, Concurrency and Computation: Practice and Experience, 2023 (IF: 1.831)
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  198. Priyadarshini R., Quadir Md A., Mohan S., Alghamdi A., Alrizq M., Mohamad U.H.,  Ahmadian A.” Novel framework based on ensemble classification and secure feature extraction for COVID-19 critical health prediction, Engineering Applications of Artificial Intelligence, 2023 (IF: 8.00)
  199. Braveen M., Anusha K., Jerlin M.A., Seetha R., Sampath N., IDISense: IOT-based Dam Water Disaster Sensing and Prevention System, IEEE Sensors Journal, 2023 (IF: 4.3)
  200. Anbalagan S., Raja G., Gurumoorthy S., R D.S.,  Ayyakannu K., Blockchain Assisted Hybrid Intrusion Detection System in Autonomous Vehicles for Industry 5.0, IEEE Transactions on Consumer Electronics, 2023 (IF: 4.3)
  201. Jasmine Gabriel J., Jani Anbarasi L., Optimizing Coronary Artery Disease Diagnosis: A Heuristic Approach using Robust Data Preprocessing and Automated Hyperparameter Tuning of eXtreme Gradient Boosting, IEEE Access,2023 (IF: 3.9)
  202. Jawahar M., Anbarasi L.J., Anand S.M., Ravi V., Intelligent leather defect classification using Fourier angular radial partitioning algorithm with ensemble classifier, Multimedia Tools and Applications, 2023 (IF: 3.6)
  203. Lakshminarayanan V., Ravikumar A., Chattu V.K., Sriraman H., Alla S. , Health Care Equity Through Intelligent Edge Computing and Augmented Reality/Virtual Reality: A Systematic Review, International Journal of Multidisciplinary Healthcare, 2023 (IF: 3.3)
  204. Kiran A., Renjith P.N., Gupta S., Ambala S., Raju P.S., Sriramsetti D, Distributed computing and big data techniques for efficient fault detection and data management in wireless networks, Optical and Quantum Electronics, 2023 (IF: 3.0)
  205. Renjith P.N., Sujatha G., Vinoth M., Vignesh G.D., Prabhu M.R., Mouleswararao B, Deep reinforcement learning for comprehensive route optimization in elastic optical networks using generative strategies, Optical and Quantum Electronics, 2023 (IF: 3.0)
  206. Aggarwal K., Renjith P.N., Udayakumar P., Thyagarajan K., Sherly Puspha Annabel L., Jayachitra S, Enhancing quality of service in wireless systems using iterative weighted least squares with fuzzy logic integration algorithm, Optical and Quantum Electronics, 2023        (IF: 3.0)
  207. Sherly Alphonse A., Abinaya S., Abirami S., Alibaba and forty thieves algorithm and novel Prioritized Prewitt Pattern(PPP) – based convolutional neural network (CNN) using hyperspherically compressed weights for facial emotion recognition, Journal of Visual  Communication and  Image Representation, 2023 (IF: 2.6)
  208. Sethu S., Kalimuthu M., Nagarajan R., Ismail S.O., Devi K., Muthukannan M., Murali M., MohammadF., AlLohedan H.A. Thermal, chemical, tensile and morphological characterization studies of bamboo fibre extracted from the indian species bambusa bambos        Materials Research Express, 2023 (IF: 2.3)
  209. Marimuthu M., Mohanraj G., Karthikeyan D., Vidyabharathi D., Safeguard confidential web information from malicious browser extension using Encryption and Isolation techniques Journal of Intelligent and Fuzzy Systems, 2023 (IF: 2.0)
  210. Ezhilarasi K., Hussain D.M., Sowmiya M., Krishnamoorthy N., Crop Information Retrieval Framework Based on LDW – Ontology and SNM-BERT Techniques Information, Technology and Control, 2023 (IF: 1.1)
  211. Daniel A.J., Meena M.J. A, hybrid sentiment analysis approach using black widow optimization based feature selection, Journal of Engineering Research (Kuwait), 2023 (IF:1.0)
  212. Senthilkumar G.,  Tamilarasi K.,  Velmurugan N.,  Periasamy J.K,       Resource Allocation in Cloud Computing, Journal of Advances in Information Technology, 2023 (IF: 1.0)
  213. Sudhakaran S., Maheswari R, Major Challenges in Smart City data collection using IOT devices, Journal of Engineering Science and Technology, 2023 (IF: 0.6)
  214. Vignesh U., Rajendiran P., Anandan P., Jeyakrishnan V., Saravanakumar M., Padmanaban K., Saranya N., Senthil Kumar A.M., Raja G, Optimized green computing on service-oriented infrastructure platform deployment model, Journal of Engineering Science and Technology, 2023 (IF: 0.6)
  215. Kumar K.A.V., Sucharitha S.T., Priyadarshini R., Rajendran N., Comparative approach for discovery of cancerous skin using deep structured learning, International Journal of Nanotechnology, 2023 (IF: 0.5)
  216. Chakrabarti S., Rao U.S, Lightweight neural network for smart diagnosis of cholangiocarcinoma using histopathological images, Scientific Reports, 2023 (IF: 4.6)
  217. Illakiya T., Karthik R., A Dimension Centric Proximate Attention Network and Swin Transformer for Age – based Classification of Mild Cognitive Impairment from Brain MRI IEEE Access, 2023 (IF: 3.9)
  218. Kim D., Velliangiri S., Bhuvaneswari Amma N.G., Lee D.,       Class Scatter Ratio Based Mahalanobis Distance Approach for Detection of Internet of Things Traffic Anomalies, Mobile Networks and Applications, 2023 (IF: 3.8)
  219. Baskar M., Rajagopal R.D., B V V S P., Babu J.C., Bartáková G.P., Arulananth T.S Multi-region minutiae depth value-based efficient forged finger print analysis, PloS one, 2023, (IF: 3.7)
  220. Alphonse A.S., Mary N.A.B., Classification of anti-oxidant proteins using novel physiochemical and conjoint-quad (PCQ) feature composition, Multimedia Tools and Applications, 2023 (IF: 3.6)
  221. Mattins R.F., Sarobin M.V.R., Aziz A.A., Srivarshan S., Object detection and classification of butterflies using efficient CNN and pretrained deep convolutional neural networks, Multimedia Tools and Applications, 2023 (IF: 3.6)
  222. Xu Y., Barbosa P.C.S., da Cunha Neto J.S., Zhang L., Shanmuganathan V., de Albuquerque V.H.C., Pasupathi S.,   Development of intelligent and integrated technology for pattern recognition in EMG signals for robotic prosthesis command, Expert Systems, 2023 (IF: 3.3)
  223. Rajathi C., Rukmani P., Modified MMS: Minimization Approach for Model Subset Selection Computers, Materials and Continua, 2023 (IF: 3.1)
  224. Anu P., Renjith P.N., Agarkar A.A., Kousalya A., Sonker A., Gundu V., Intelligent root cause detection in Industry 4.0: a secure cross-validation of blockchain architecture for product failure checker, Optical and Quantum Electronics, 2023     (IF: 3.0)
  225. Ganganwar V., Rajalakshmi R, Employing synthetic data for addressing the class imbalance in aspect-based sentiment classification, Journal of Information and Telecommunication, 2023 (IF: 2.7)
  226. Manjaly J.S., Subbulakshmi T., Performance Improvement through Novel Adaptive Node and Container Aware Scheduler with Resource Availability Control in Hadoop YARN, Computer Systems Science and Engineering, 2023 (IF: 2.2)
  227. Suseela S., Krithiga R., Revathi M., Sudhakaran G., Bhavadharini R.M.,          Energy aware optimal routing model for wireless multimedia sensor networks using modified Voronoi assisted prioritized double deep Q-learning, Concurrency and Computation: Practice and Experience, 2023 (IF: 2.0)
  228. Aakash Kumar P., Nandhini D., Amutha S., Syed Ibrahim S.P., Detection and identification of healthy and unhealthy sugarcane leaf using convolution neural network system, Sadhana – Academy Proceedings in Engineering Sciences, 2023,   (IF: 1.6)
  229. Bharathiraja S., Rajesh Kanna B., Geetha S., Anusooya G.,       Unmasking the digital deception – a comprehensive survey on image forgery and detection techniques Australian, Journal of Forensic Sciences, 2023 (IF: 1.0)
  230. Muthukannan M., Arunkumar K., Sureshkumar A., Ganesh A.C., Devi R.K. Mechanical characterisation of waste wood ash-based green geopolymer concrete incorporated with waste rubber and polypropylene fibre, International Journal of Environment and Waste Management, 2023 (IF: 0.6)

Year 2022

  1. Kinikar M., Saleena B. , An intelligent personalized web user information retrieval using partial least squares and artificial neural networks , Journal of Ambient Intelligence and Humanized Computing, 2022, (IF :7.104)
  2. Ilakiyaselvan N., Khan A.N., Shahina A. , Reconstructed phase space portraits for detecting brain diseases using deep learning ,journal of Biomedical Signal Processing and Control, 2022,(IF:3.88)
  3. Sreenivasa Chakravarthi S., Jagadeesh Kannan R., Anantha Natarajan V., Gao X.-Z., Deep Learning Based Intrusion Detection in Cloud Services for Resilience Management , Computers, Materials and Continua, 2022,(IF:3.772)
  4. Kothandaraman D., Balasundaram A., Dhanalakshmi R., Sivaraman A.K., Ashokkumar S., Vincent R., Rajesh M. , Energy and bandwidth based link stability routing algorithm for IoT , Computers, Materials and Continua, 2022,(IF:3.772)
  5. Nishath S., Darisini P.S.N. , An Adaptive Classifier Based Approach for Crowd Anomaly Detection , Computers, Materials and Continua, 2022,(IF:3.772)
  6. Karthik S., Bhadoria R.S., Lee J.G., Sivaraman A.K., Samanta S., Balasundaram A., Chaurasia B.K., Ashokkumar S. , Prognostic Kalman Filter Based Bayesian Learning Model for Data Accuracy Prediction , Computers, Materials and Continua, 2022,(IF:3.772)
  7. Shankar A., Dayalan R., Chakraborty C., Dhasarathan C., Kumar M. , A modified social spider algorithm for an efficient data dissemination in VANET , Environment, Development and Sustainability, 2022, (IF:3.219)
  8. Manikandan N., Gobalakrishnan N., Pradeep K. , Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment , Computer Communications, 2022,(IF:3.167)
  9. Saidani O., Manoharan R.R., Naje A.S., Mishra R., Subburaj A., S Maheswari., Sikkandar M.Y., Sundaram S.G., Rajan R., Sengan S. , Analysis of positive correlation in magnitude and time measurement for earthquake using electric signals , Earth Science Informatics, 2022,(IF:2.878)
  10. Shahina K., Pradeep Kumar T.S. , Similarity-based clustering and data aggregation with independent component analysis in wireless sensor networks , Transactions on Emerging Telecommunications Technologies, 2022,(IF:2.638)
  11. Ravi S., S S., Shahina A., N. Ilakiyaselvan, Khan A.N. , Epileptic seizure detection using convolutional neural networks and recurrence plots of EEG signals , Multimedia Tools and Applications, 2022,(IF:2.757)
  12. Hemamalini V., Rajarajeswari S., Nachiyappan S., Sambath M., Devi T., Singh B.K., Raghuvanshi A. , Food Quality Inspection and Grading Using Efficient Image Segmentation and Machine Learning-Based System , Journal of Food Quality, 2022,(IF:2.450)
  13. S. Bharathiraja, B. Rajesh Kanna, M. Hariharan, A Deep Learning Framework for Image Authentication: An Automatic Source Camera, Arabian Journal for Science and Engineering, 2022,(IF:2.334)
  14. Dinesh Jackson Samuel R, B. Rajesh Kanna, A Fuzzy strategy to eliminate uncertainty in grading positive Tuberculosis, International Journal of Computational Intelligence and Applications, World Scientific Publishing Europe Ltd, 2022,(IF:2)
  15. Amma N.G.B. , A vector convolutional deep autonomous learning classifier for detection of cyber attacks , Cluster Computing, 2022,(IF:1.809)
  16. Alroobaea R., Arul R., Rubaiee S., Alharithi F.S., Tariq U., Fan X. , AI-assisted bio-inspired algorithm for secure IoT communication networks, Cluster Computing, 2022,(IF:1.809)
  17. Beatrice S., Meena J. , Overhauled Approach to Effectuate the Amelioration in EEG Analysis , Intelligent Automation and Soft Computing, 2022,(IF:1.647)
    Palanikkumar D., Upreti K., Venkatraman S., Roselin Suganthi J., Kannan S., Srinivasan S. , Fuzzy Logic for Underground Mining Method Selection , Intelligent Automation and Soft Computing, 2022,(IF:1.647)
  18. Pavithra L.K., Sree Sharmila T., Subbulakshmi P. , Texture Image Classification and Retrieval Using Multi-resolution Radial Gradient Binary Pattern , Applied Artificial Intelligence, 2022,(IF:1.58)
  19. Subasree S., Sakthivel N.K., Balasaraswathi V.R., Tyagi A.K. , Selection of Optimal Thresholds in Multi-Level Thresholding Using Multi-Objective Emperor Penguin Optimization for Precise Segmentation of Mammogram Images , Journal of Circuits, Systems and Computers, 2022,(IF:1.333)
  20. Thirugnanasambandam K., Rajeswari M., Bhattacharyya D., Kim J.-Y. , Directed Artificial Bee Colony algorithm with revamped search strategy to solve global numerical optimization problems , Automated Software Engineering, 2022,(IF:1.273)
  21. Saumya Bhardwaj, Manas Ranjan Prusty, BERT Pre-processed Deep Learning Model for Sarcasm Detection, National Academy Science Letters,2022,(IF:0.788)
  22. Hemamalini V., Anand L., Nachiyappan S., Geeitha S., RamanaMotupalli V., Kumar R.,
    Ahilan A., Rajesh M., Integrating bio medical sensors in detecting hidden signatures of COVID-19 with Artificial intelligence, Measurement: Journal of the International Measurement Confederation, 2022,(IF:3.927)
  23. Arunachalam P., Janakiraman N., Rashid J., Kim J., Samanta S., Naseem U., Sivaraman A.K., Balasundaram A. Effective Classification of Synovial Sarcoma Cancer Using Structure Features and Support Vectors, Computers, Materials and Continua, 2022,(IF:3.772)
  24. Padmaa M., Jayasankar T., Venkatraman S., Dutta A.K., Gupta D., Shamshirband S., Rodrigues J.J.P.C. Oppositional chaos game optimization based clustering with trust based data transmission protocol for intelligent IoT edge systems, Journal of Parallel and Distributed Computing, 2022,(IF:3.734)
  25. Kumar R., Subbiah G, Zero-Day Malware Detection and Effective Malware Analysis Using Shapley Ensemble Boosting and Bagging Approach, Sensors, 2022, (IF:3.576)
  26. Chazhoor A., Sarobin V.R., Intelligent automation of invoice parsing using computer vision techniques, Multimedia Tools and Application, 2022,(IF:2.757)
    Abdullah A.S, Assessment of the risk factors of type II diabetes using ACO with selfregulative update function and decision trees by evaluation from Fisher’s Z-transformation, Medical and Biological Engineering and Computing, 2022 (IF:2.602)
  27. Sathya R., Saleena B., CNN-MAO: Convolutional Neural Network-based Modified Aquilla Optimization Algorithm for Pothole Identification from Thermal Images, Signal, Image and Video Processing,2022,(IF:2.157)
  28. Kanthavel R., Indra Priyadharshini S., Sudha D., Sundara Velrani K., Dhaya R., Multi-hoped cooperative communication-based wireless underground sensor network design, International Journal of Communication Systems, 2022,(IF:2.047)
  29. Sakthivel N.K., Subasree S., Malik S., Tyagi A.K., A Wrapper based feature extraction framework based on AlexNet deep convolutional neural network parameters optimized using gradientbased optimizer for mammogram images, Concurrency and Computation: Practice and Experience, 2022,(IF:1.536)
  30. Navaneetha Krishnan S., Sundara Vadivel P., Yuvaraj D., Satyanarayana Murthy T., Malla S.J., Nachiyappan S., Shanmuga Priya S., Enhanced Route Optimization for Wireless Networks Using MetaHeuristic Engineering, Computer Systems Science and Engineering, 2022,(IF:1.486)
  31. Ulagamuthalvi V., Kulanthaivel G., Balasundaram A., Sivaraman A.K, Breast Mammogram Analysis and Classification Using Deep Convolution Neural Network, Computer Systems Science and Engineering, 2022,(IF:1.486)
  32. Ravikumar A., Sriraman H., Saketh P.M.S., Lokesh S., Karanam A., Effect of neural network structure in accelerating performance and accuracy of a convolutional neural network with GPU/TPU for image analytics, PeerJ Computer Science, 2022,(IF:1.392)
  33. Raja G., Anbalagan S., Senthilkumar S., Dev K., Qureshi N.M.F, SPAS: Smart Pothole-Avoidance Strategy for Autonomous Vehicles, IEEE Transactions on Intelligent Transportation Systems, 2022, (IF:6.492)
  34. Jawahar M., Prassanna J., Ravi V., Anbarasi L.J., Jasmine S.G., Manikandan R., Sekaran R., Kannan S., Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier, Multimedia Tools and Applications, 2022,(IF:2.757)
    Pavithra L.K., Srinivasan R., Sharmila T.S., Optimum anamorphic image generation using image rotation and relative entropy, Multimedia Tools and Applications, 2022,(IF:2.757)
  35. Melvin A.A.R., Kathrine G.J.W., Pasupathi S., Shanmuganathan V., Naganathan R., An AI powered system call analysis with bag of word approaches for the detection of intrusions and malware in Australian Defence Force Academy and virtual machine monitor malware attack data set, Expert Systems,2022,(IF:2.587)
  36. Wang C., An Z., Jairueng S., Ruekkasaem L., Jayasudha M., Singh B.K., Model Optimization of Agricultural Machinery Information Control System Based on Artificial Intelligence, Journal of Food Quality, 2022,(IF:2.45)
  37. Maddala V.K.S., Jayarajan K., Braveen M., Walia R., Krishna P., Ponnusamy S., Kaliyaperumal K., Multisensor Data and Cross-Validation Technique for Merging Temporal Images for the Agricultural Performance Monitoring System, Journal of Food Quality, 2022,(IF:2.45)
  38. Ayub S., Kannan R.J., Shitharth S., Alsini R., Hasanin T., Sasidhar C., LSTM-Based RNN Framework to Remove Motion Artifacts in Dynamic Multicontrast MR Images with Registration Model, Wireless Communications and Mobile Computing, 2022,(IF:2.336)
  39. Nirmala P., Manimegalai T., Arunkumar J.R., Vimala S., Rajkumar G.V., Raju R, A Mechanism for Detecting the Intruder in the Network through a Stacking Dilated CNN Model, Wireless Communications and Mobile Computing, 2022,(IF:2.336)
  40. Kothandaraman D., Manickam M., Balasundaram A., Pradeep D., Arulmurugan A., Sivaraman A.K., Rani S., Dey B., Balakrishna R., Decentralized Link Failure Prevention Routing (DLFPR) Algorithm for Efficient Internet of Things, Intelligent Automation and Soft Computing, 2022,(IF:1.647)
  41. Pradeepa S., Srinivasan J.P., Anandalakshmi R., Subbulakshmi P., Vimal S., Tarik A., FREEDOM: Effective Surveillance and Investigation of Water-borne Diseases from Data-centric Networking Using Machine Learning Techniques, International Journal on Artificial Intelligence Tools, 2022,(IF:1.208)
  42. Suguna M., Shah B., Factors affecting repurposing operations in Micro Small and Medium Enterprises during Covid-19 emergency , Operations Management Research, 2022, (IF 7.032)
  43. Yuvaraj D., Priya S.S., Braveen M., KrishnanS.N., Nachiyappan S., Mehbodniya A., Ahamed A.M.U., Sivaram M, Novel DoS Attack Detection Based on Trust Mode Authentication for IoT, Intelligent Automation and Soft Computing, 2022, (IF 3.401)
  44. Jayasudha M., Elangovan, M., Mahdal M., Priyadarshini J, Accurate Estimation of Tensile Strength of 3D Printed Parts Using Machine Learning Algorithms, Processes, 2022, (IF 3.352)
  45. Jagtap M.M., Saravanan R.D., Intelligent software defined networking: Long short term memory-graded rated unit enabled block-attack model to tackle distributed denial of service attacks, Transactions on Emerging Telecommunications Technologies, 2022,  (IF 3.31)
  46. Monica K.M., Parvathi R., Gayathri A., Aluvalu R., Sangeetha K., Simha Reddy C.V., Hybrid Optimized GRU-ECNN Models for Gait Recognition with Wearable IOT Devices, Computational Intelligence and Neuroscience, 2022, (IF 3.12)
  47. Lawande S.R., Jasmine G., Anbarasi J., Izhar L.I., A Systematic Review and Analysis of Intelligence-Based Pathfinding Algorithms in the Field of Video Games, Applied Sciences, 2022, (IF 2.838)
  48. Vaiyapuri T., Liyakathunisa, Alaskar H., Parvathi R., Pattabiraman V., Hussain A, Cat Swarm Optimization-Based Computer-Aided Diagnosis Model for Lung Cancer Classification in Computed Tomography Images, Applied Sciences, 2022, (IF 2.838)
  49. Devipriya S., Martin Leo Manickam J., Anita X., On the outage performance of decodeand-forward based relay ordering in cognitive wireless sensor networks, Wireless Networks, 2022, (IF 2.701)
  50. Balasubramanian S.B., Kannan R.J., Prabu P., Venkatachalam K., Trojovský P., Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection, PeerJ Computer Science. 2022, (IF 2.411)
  51. Sathya R., Saleena B., A Framework for Designing Unsupervised Pothole Detection by Integrating Feature Extraction Using Deep Recurrent Neural Network, Wireless Personal Communications, 2022, (IF 2.017)
  52. Dhanalakshmi R., Rashid J., Kim J., Sivaraman A.K., Naseem U., Vincent R., A New Method for Centrality Measurement Using Generalized Fuzzy Graphs, Discrete Dynamics in Nature and Society, 2022, (IF 1.457)
  53. Sariki T.P., Kumar G.B., An aggrandized framework for enriching book recommendation system, Malaysian Journal of Computer Science, 2022, (IF 0.436)
  54. Jawahar M., H S., L J.Anbarasi, Gandomi A.H. ALNett, A cluster layer deep convolutional neural network for acute lymphoblastic leukemia classification, Computers in Biology and Medicine, 2022, (IF 6.698)
  55. JothiPrabha A., Bhargavi R., Deepa Rani B.V , Prediction of dyslexia severity levels from fixation and saccadic eye movement using machine learning, Biomedical Signal Processing and Control, 2022, (IF 5.076)
  56. Bharathiraja S., Kanna B.R., Geetha S., Hariharan M, Exposing digital image forgeries from statistical footprints, Journal of Information Security and Applications, 2022, (IF 4.96)
  57. Kumar S.L., Asish Y.S., Ganapathy S., A new hybrid CNN–LSTM model with Non-Softmax functions for face spoof detection, Soft Computing, 2022, (IF 3.732)
  58. Suleman M.A.R., Shridevi S, Short-term weather Forecasting using Spatial Feature Attention based LSTM model, IEEE Access, 2022, (IF 3.476)
  59. Kavitha D., Vidhya A., Prema V., Priyadharshini M., Kumaresan G., Sangeetha G, An efficient IoMT based health monitoring using complex valued deep CNN and political optimizer, Transactions on Emerging Telecommunications Technologies, 2022, (IF 3.31)
  60. Raja Sree T, Role of fog-assisted Industrial Internet of Things: A systematic review, Transactions on Emerging Telecommunications Technologies, 2022, (IF 3.31)
  61. Junath N., Bharadwaj A., Tyagi S., Sengar K., Hasan M.N.S., Jayasudha M, Prognostic Diagnosis for Breast Cancer Patients Using Probabilistic Bayesian Classification, BioMed Research International, 2022, (IF 3.246)
  62. Srinivasan R., Lalitha T., Brintha N.C., Sterlin Minish T.N., Al Obaid S., Alharbi S.A., Sundaram S.R., Mahilraj J, Predicting the Growth of F. proliferatum and F. culmorum and the Growth of Mycotoxin Using Machine Learning Approach, BioMed Research International, 2022, (IF 3.246)
  63. Amma N.G N., Amma N.G B, PClusBA: A Novel Partition ClusteringBased Biometric Authentication Mechanism, IETE Journal of Research, 2022, (IF 1.877)
  64. Natesan G., Ali J., Krishnadoss P., Chidambaram R., Nanjappan M, Optimization techniques for task scheduling criteria in IaaS cloud computing atmosphere using nature inspired hybrid spotted hyena optimization algorithm, Concurrency and Computation: Practice and Experience, 2022, (IF 1.831)
  65. Pradeep K., Ali L.J., Gobalakrishnan N., Raman C.J., Manikandan N, CWOA: Hybrid Approach for Task Scheduling in Cloud Environment, Computer Journal , 2022 (IF 1.762)
  66. Chakraborty C., Bhattacharya M., Sharma A.R., Roy S.S., Islam M.A., Chakraborty S., Nandi S.S., Dhama K., Deep learning research should be encouraged for diagnosis and treatment of antibiotic resistance of microbial infections in treatment associated emergencies in hospitals, International Journal of Surgery, 2022, (IF: 13.400)
  67. Neelakandan S., Prakash  M., Geetha B.T., Nanda A.K., Metwally A.M., Santhamoorthy M.,Gupta M.S., Metaheuristics with Deep Transfer Learning Enabled Detection and classification model for industrial waste management, Chemosphere, 2022 (IF: 8.943)
  68. Noella R.S.N., Priyadarshini J., Diagnosis of Alzheimer’s, Parkinson’s disease and frontotemporal dementia using a generative adversarial deep convolutional neural network, Neural Computing and Applications, 2022 (IF: 5.102)
  69. P D., C G., A systematic review on machine learning and deep learning techniques in cancer survival prediction, Progress in Biophysics and Molecular Biology,2022 (IF: 4.799)
  70. Samantra A., Sa P.K., Nguyen T.N., Sangaiah A.K., Bakshi S., On the Usage of Neural POS Taggers for Shakespearean Literature in Social System, IEEE Transactions on Computational Social Systems, 2022 (IF: 4.747)
  71. Veeragandham S., Santhi H., Effectiveness of convolutional layers in pre- trained models for classifying common weeds in groundnut and corn crops, Computers and Electrical Engineering, 2022 (IF: 4.152)
  72. Joseph R.V., Mohanty A., Tyagi S., Mishra S., Satapathy S.K., Mohanty S.N., A hybrid deep learning framework with CNN and Bi-directional LSTM for store item demand forecasting, Computers and Electrical Engineering, 2022 (IF: 4.152)
  73. Pari D., Natarajan J., Secure Spectrum Access, Routing, and Hybrid Beamforming in an Edge-Enabled mmWave Massive MIMOCRN-Based Internet of Connected Vehicle (IoCV) Environments, Sensors, 2022, (IF: 3.847)
  74. Rajasekar V.R., Rajkumar S., A Study on Impact of DIS flooding Attack on RPL-based 6LowPAN Network, Microprocessors and Microsystems, 2022 (IF: 3.503)
  75. Pal A., Chowdhury A., Satakshi, NarmanH.S., Chowdhury A., Kumar M., Random Partition based Adaptive Distributed Kernelized SVM for Big Data, IEEE Access, 2022 (IF: 3.476)
  76. Gayathri R., Rani S.U., Čepová L., Rajesh M., Kalita K., A Comparative Analysis of Machine Learning Models in Prediction of Mortar Compressive Strength, Processes, 2022 (IF: 3.352)
  77. Sivanesan I., Muthu M., Kannan A., Pushparaj S.S.C., Oh J.-W., Gopal J., Identification of Epigallocatechin-3-Gallate (EGCG) from Green Tea Using Mass Spectrometry, Separations, 2022 (IF: 3.344)
  78. Gayathri A., Ruby D., Manikandan N., Gopalakrishnan T., Anusha K., Narayanasamy P., Data location integration with stable routing: Stable and optimal data transmission in wireless sensor networks, Transactions on Emerging Telecommunications Technologies, 2022 (IF: 3.310)
  79. Sreekala K., Rajkumar N., Sugumar R., Sagar K.V.D., Shobarani R., Krishnamoorthy K.P., Saini A.K., Palivela H., Yeshitla A., Skin Diseases Classification Using Hybrid AI Based Localization Approach, Computational Intelligence and Neuroscience, 2022 (IF: 3.120)
  80. Pande S.V., Nattarkannan K., Rama Bai M., Kapila D., Lightweight Artificial Intelligence for Secure Data Communication in Energy-Constrained, Computational Intelligence and Neuroscience, 2022 (IF: 3.120)
  81. Praveen C.K., Srinivasan K., Psychological Impact and Influence of Animation on Viewer’s Visual Attention and Cognition: A Systematic Literature Review, Open Challenges, and Future Research Directions, Computational and Mathematical Methods in Medicine, (IF: 2.809)
  82. Krishnan R., Thangavelu A., Panneer P., Devulapalli S., Misra A., Putrevu D., Iceberg detection and tracking using two- level feature extraction methodology on Antarctica Ocean, Acta Geophysica, 2022 (IF: 2.293)
  83. Bhuvaneshwari P., Rao A.N., Robinson Y.H., Top-N Recommendation System Using Explicit Feedback and Outer Product Based Residual CNN, Wireless Personal Communications, 2022    (IF: 2.017)
  84. Rahim R., Ramachandran M., Jayachandran P., Kalyanaraman H., Bhaskar V., Kumar A., Holistic Feistel Authenticated Learning-`Based Authorization for Protecting the Internet of Things from Cyber Attacks, Wireless Personal Communications, (IF: 2,017)
  85. Lakshmanan S., Manimozhi B., Ramachandran V., An efficient and secure data sharing scheme for cloud data using hash based quadruplet wavelet permuted cryptography approach, Concurrency and Computation: Practice and Experience, 2022 (IF: 1.831)
  86. Qiang X., Xiao Q.-R., Khan A., Talebi A.A., Sivaraman A.K., Mojahedfar M., A Study on Interval-Valued Fuzzy Graph with Application in Energy Industry Management, Discrete Dynamics in Nature and Society, 2022 (IF: 1.457)
  87. Kumar T., Sankaran K.S., Ritonga M., Asif S., Sathiya Kumar C.,Mohammad S., Sengan S., Asenso E., Fuzzy Logic and Machine Learning-Enabled Recommendation System to Predict Suitable Academic Program for Students, Mathematical Problems in Engineering, 2022 (IF: 1.430)
  88. Sathyaraj R., Kanthavel R., Cavaliere L.P.L., Vyas S., Maheswari S., Gupta R.K., Raja M.R., Dhaya R., Gupta M.K., Sengan S., Analysis on Prediction of COVID-19 with Machine Learning Algorithms, International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 2022 (IF: 1.027)
  89. David H.B.F., Suruliandi A., Raja S.P., Predicting Corona Virus Affected Patients Using Supervised Machine Learning, International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 2022, (IF: 1.027)
  90. Anam M., Setiawan R., Chinnappan S.K., Nik Hashim N.A.A., Mehbodniya A., Bhargava C., Sharma P.K., Phasinam K., Subramaniyaswamy V., Sengan S., Analyzing the Impact of Lockdown in Controlling COVID-19 Spread and Future Prediction, International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 2022 (IF: 1.027)
  91. Abinaya S., Kavitha Devi M.K., Sherly Alphonse A., Enhancing Context-Aware Recommendation Using Hesitant Fuzzy Item Clustering by Stacked Autoencoder Based Smoothing Technique, International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 2022 (IF: 1.027)
  92. Elumalai G., Ganesan M., Deep Learning Based Hand Wrist Segmentation using Mask R-CNN, International Arab Journal of Information Technology, 2022 (IF: 0.967)
  93. Rubio-Medrano C.E., Soundrapandian P.K.D., Hill M., Claramunt L., Baek J., Geetha S., Ahn G.-J., DyPolDroid: Protecting Against Permission-Abuse Attacks in Android, Information Systems Frontiers, 2022. (IF 5.261)
  94. Anirudh S., Shaan Sundar R., Ganapathy S. A New Cryptosystem for Secured Data Communications in Plagiarism Checking Process Using Blockchain Technology, Wireless Personal Communications, 2022 (IF 2.017)
  95. Thangaramya K., Kulothungan K., Logambigai R., Selvi M., Ganapathy S., Kannan A, Energy aware cluster and neuro-fuzzy based routing algorithm for wireless sensor networks in IoT, Computer Networks (IF 5.493)
  96. Prathiba S.B., Raja G., Anbalagan S., Dev K., Gurumoorthy S., Sankaran A.P., Federated Learning Empowered Computation Offloading and Resource Management in 6G-V2X, IEEE Transactions on Network Science and Engineering, 2022, (IF 5.033)
  97. Priyadarshini R., Quadir Md A. , Rajendran N., Neelanarayanan V., Sabireen H., Anenhanced encryption-based security framework in the CPS Cloud, Journal of Cloud Computing, 2022,    (IF 3.418)
  98. Yasashvini R., Raja Sarobin M V., Panjanathan R., Graceline Jasmine S., Jani Anbarasi L., Diabetic Retinopathy Classification Using CNN and Hybrid Deep Convolutional Neural Networks, Symmetry, 2022, (IF 2.940)
  99. Abirami S., Chitra P., Probabilistic air quality forecasting using deep learning spatial–temporal neural network, GeoInformatica, 2022, (IF 2.773)
  100. Md A.Q., Jaiswal D., Daftari J., Haneef S., Iwendi C., Jain S.K., Efficient Dynamic Phishing Safeguard System Using Neural Boost Phishing Protection, Electronics (Switzerland), 2022,    (IF 2.690)
  101. Alqahtani A.S., Kshirsagar P.R., Manoharan H., Balachandran P.K.,Yogesh C.K., Selvarajan S., Prophetic Energy Assessment with Smart Implements in Hydroelectricity Entities Using Artificial Intelligence Algorithm, International Transactions on Electrical Energy Systems, 2022, (IF 2.639)
  102. Jaisakthi S.M., Mirunalini P., Aravindan C., Appavu R., Classification of skin cancer from dermoscopic images using deep neural network architectures, Multimedia Tools and Applications, 2022, (IF 2.577)
  103. Khan B., SK., AgarwalS., MP., Thupakula B., Raja Ambethkar M., Assessment on economic power management for smart city through IoT sensor model, Measurement: Sensors, 2022,       (IF 1.2)
  104. Sendhil R., Amuthan A. “Verifiable quaternion fully homomorphic encryption scheme for mitigating false data injection attacks by privacy preservation in fog environment” Journal of Information Security and Applications. 2022 (IF 4.960)
  105. Nallakaruppan M.K., Ramalingam S., Somayaji S.R.K., Prathiba S.B. “Comparative Analysis of Deep Learning Models Used in Impact Analysis of Coronavirus Chest X-ray Imaging” Biomedicines 2022 (IF 4.757)
  106. Jeevakumari S.A.A., Ramadoss R., Indhumathi K, Gnanasekar A.K. “Cocos nucifera husk biocarbon and FeSi3 on EMI shielding behavior of PVA composites” Biomass Conversion and Biorefinery, 2022 (IF 4.050)
  107. Md A.Q., Jha K., Haneef S., Sivaraman A.K., Tee K.F. “A Review on Data-Driven Quality Prediction in the Production Process with Machine Learning for Industry 4.0” Processes, 2022 (IF 3.352)
  108. Duraisamy Soundrapandian P., Subbiah G.”MULBER: Effective Android Malware Clustering Using Evolutionary Feature Selection and Mahalanobis Distance Metric”, 2022 Symmetry  (IF 2.9)
  109. Tandon A., Shastri R., Murthy M.Y.B., Sarma P., Renjith P.N., Rajesh M.V. “Video streaming in ultra high definition (4K and 8K) on a portable device employing a Versatile Video Coding standard” Optik, 2022 (IF 2.840)
  110. Premalatha M., Viswanathan V., Čepová L.”Application of Semantic Analysis and LSTM-GRU in Developing a Personalized Course Recommendation System” Applied Sciences (Switzerland), 2022 (IF 2.838)
  111. Ganganwar V., Rajalakshmi R. “MTDOT: A Multilingual Translation-Based Data Augmentation Technique for Offensive Content Identification in Tamil Text Data” Electronics (Switzerland), 2022 (IF 2.690)
  112. Manikandan N., Gopalakrishnan N., Pradeep K. “An Efficient Task Scheduling Based on Hybrid Bird Swarm Flow Directional Model in Cloud Computing Environment” IETE Journal of Research 2022 (IF 1.877)
  113. Sakthivel N.K., Subasree S., Alias Priya M P., Tyagi A.K.         “Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi-objective seagull optimization algorithm” Concurrency and Computation: Practice and Experience, 2022 (IF 1.831)
  114. Muruganandham R., Sheik Abdullah A., Selvakumar S. “A hybrid web analytic approach through click enabled vision based page segmentation in quest software for school students” Journal of Intelligent and Fuzzy Systems, 2022 (IF 1.737)
  115. Prathilothamai M., Viswanathan V. “Traffic Prediction System Using IoT Cluster Based Evolutionary Under Sampling Approach” International Journal on Artificial Intelligence Tools”, 2022 (IF 1.059)
  116. Ramasamy-Rajeswari A., Ganapathy S., Kulothungan K., Kannan A. “Machine Learning Fuzzy based congestion detection and control algorithm for energy efficient wireless sensor network (WSN)” Journal of the National Science Foundation of Sri Lanka, 2022 (IF 0.682)
  117. Shiny Irene D., Indra Priyadharshini S., Tamizh Kuzhali R., Nancy P. “An IoT based smart menstrual cup using optimized adaptive CNN model for effective menstrual hygiene management Artificial Intelligence Review” 2022 (IF: 9.588)
  118. Venkatachalam G., Gopu A., Velu P.S., Venkataraman N., Salunke D.R., Mukkamala R.R. “Study on Tensile Properties of Fly Ash, Sugarcane Fiber and Carbon Nanotube-Reinforced Polymer Matrix Composite Using Objective Evolutionary Algorithm” Nanomaterials, 2022, (IF: 5.719)
  119. Shaik A., Masilamani V. “A robust multiplicative watermarking technique for digital images in curvelet domain using normal inverse Gaussian distribution” Multimedia Tools and Applications, 2022, (IF: 2.577)
  120. Nanjappan M., Natesan G., Krishnadoss P. “HFTO: Hybrid Firebug Tunicate Optimizer for Fault Tolerance and Dynamic Task Scheduling in Cloud Computing” Wireless Personal Communications, 2022, (IF: 2.017)
  121. Syed Musthafa A., Sankar K., Benil T., Rao Y.N. “A hybrid machine learning technique for early prediction of lung nodules from medical images using a learning-based neural network classifier” Concurrency and Computation: Practice and Experience, 2022, (IF: 1.831)
  122. Suganya G., Premalatha M., Geetha S., Chowdary G.J., Kadry S. “Detection of COVID-19 Cases from Chest X-Rays using Deep Learning Feature Extractor and Multilevel Voting Classifier” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2022, (IF: 1.027)
  123. Fareena N., Yogesh C., Selvakumar K., Sai Ramesh L. “Google Play Malware Detection based on Search Rank Fraud Approach” KSII Transactions on Internet and Information Systems, 2022, (IF: 0.972)

Year 2021

1. Prabu Subramani, Fadi Al-Turjman, Rajagopal Kumar, Anusha Kannan, Anand Loganthan,(2021) Improving medical communication process using recurrent networks and wearable antenna s11 variation with harmonic suppressions, Personal and Ubiquitous Computing. (1-13), (IF:2.395)
2. R. Saravanakumar, N. Krishnaraj, S. Venkatraman, B. Sivakumar, S. Prasanna, K. Shankar, Hierarchical symbolic analysis and particle swarm optimization based fault diagnosis model for rotating machineries with deep neural networks,
Measurement, Volume 171, 2021, 108771, (IF:3.364)
3. Prakash, B., Viswanathan, V. ARP–GWO: an efficient approach for prioritization of risks in agile software development. Soft Computing Vol.25.Issue.7, (2021). (IF:3.518)
4. Thulasimani Thangamani, R. Prabha, M. Prasad, Usha Kumari, Raghavender K.V., Shafiqul Abidin. IoT Defense Machine Learning: Emerging Solutions and Future Problems, Microprocessors and Microsystems, Vol.80.Issue.1, 2021,104043, (IF:0.445)
5. Priyadarsini K., Mishra N., Prasad M. et al. Detection of malware on the internet of things and its applications depends on long short-term memory network. J Ambient Intell Human Computing VOl.11, issue.12, (2021). (IF:7.154)
6. Ghate V., C. Sweetlin.Hemalatha. Hybrid deep learning approaches for smartphone sensor-based human activity recognition. Multimed Tools Appl (2021). ( IF:2.757)
7. Satapathy S.K., Mishra S., Mallick P.K. et al. ADASYN and ABC-optimized RBF convergence network for classification of electroencephalograph signal. Personal and Ubiquit Comput (2021). (IF:2.395)
8. D. Venugopal, T. Jayasankar, N. Krishnaraj, S. Venkatraman, N. B. Prakash et al., “Multifactorial disease detection using regressive multi-array deep neural classifier,” Intelligent Automation & Soft Computing, vol. 28, no.1, pp. 27–38, 2021.( IF:1.276)
9. A. Dhandapani and Viswanathan Vadivel. “Question Answering System Over Semantic Web,” in IEEE Access, vol. 9, pp. 46900-46910, 2021, (IF:3.367)
10. Arathi Reghukumar, L. Jani Anbarasi and J. Prassanna, R. Manikandan, Fadi Al-Turjman, Vision Based Segmentation and Classification of Cracks Using Deep Neural Network, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 29, No. Supp01, pp. 141-156 (2021),( IF:1.214)
11. Subbulakshmi P, Vimal Shanmuganathan, Kaliappan Madasamy · Harold Robinson Yesudhas, Mucheol Kim, Trend analysis using agglomerative hierarchical clustering approach for time series, The Journal of Supercomputing volume 77, pages6505–6524 (2021), (IF:2.6)
12. Nirmala Venkatachalam, Leninisha Shanmugam, Genitha C. Heltin, G. Govindarajan, and P. Sasipriya, Enhanced Segmentation of Inflamed ROI to Improve the Accuracy of Identifying Benign and Malignant Cases in Breast Thermogram, Volume 2021, ( IF:4.375)
13. Hemalatha, J., Abijah Roseline, S. Geetha, Seifedine Kadry, Robertas Damaševi;ius, “An Efficient DenseNet ; Based Deep Learning Model for Malware Detection,” MDPI – Entropy, Vol. 23, No. 3, pp. 1-23 (IF:2.419)
14. M. Maheswari, S. Geetha, S. S. Kumar, M. Karuppiah, D. Samanta and Y. Park, “PEVRM: Probabilistic Evolution Based Version Recommendation Model for Mobile Applications,” IEEE Access, Vol. 9, pp. 20819-20827, 2021, (IF: 3.745)
15. R. Geetha, S. Geetha, “A Multi-Layered “Plus-Minus one” Reversible Data Embedding Scheme”, Springer – Multimedia Tools and Applications, Vol. 80, No. 9, pp. 14123-14136, 2021, (IF:2.313)
16. S. Geetha, C.S .Akshayanat, C.S. Abhishek. “Machine Vision based Fire Detection Techniques : A Sruvey” , Springer — Fire Technology, Vol. 57, pp. 591-623, 2021, (IF:1.671)
17. Monica K. & Parvathi R. (2021). Hybrid FOW—a novel whale optimized firefly feature selector for gait analysis. Personal and Ubiquitous Computing. 1-13. ( IF:2.395)
18. Vergin Raja Sarobin M., L. Jani Anbarasi, J. Prassanna, R. Manikandan, Fadi Al Turjman “Swarm intelligence-based optimal device deployment in heterogeneous Internet of Things networks for wind farm application.” International Journal Of Communication,Vol.34, Issue.8,2021, ( IF:1.802)

19. S. Sivakumar and R. Rajalakshmi, Self-attention based sentiment analysis with effective embedding techniques, International Journal of Computer Applications in Technology,Vol.65, Issue no.1, ( IF:1.55)
20. K. Dhinakaran, R. Nedunchelian, A. Balasundaram. Crowdsourcing: Descriptive Study on Algorithms and Frameworks for Prediction, Archives of Computational Methods in Engineering, (IF: 7.35)
21. B Riyaz, S. Ganapathy, “A deep learning approach for effective intrusion detection in wireless networks using CNN”, Soft Computing 24, 17265-17278, November 2020. IF:3.050 ISSN: 1432-7643
22. G. Sangeetha, M. Vijayalakshmi, S. Ganapathy, A. Kannan, “An improved congestion-aware routing mechanism in sensor networks using fuzzy rule sets”,vol.13, issue.3, (IF:2.793)
23. P. Nancy, S. Muthurajkumar, S. Ganapathy, S.V.N.S. Kumar, M. Selvi, Kannan Arputharaj, “Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks”,vol.14,issue.5,2021 (IF:1.664)
24. B.P. Kavin, S. Ganapathy, U. Kanimozhi, A. Kannan. “An enhanced security framework for secured data storage and Communications in cloud using ECC, access control and LDSA”, vol.115, issue.2, 2021, ( IF:1.05)
25. S. Munuswamy, M.S. Saranya, S. Ganapathy, S. Muthurajkumar, A. Kannan. “Sentiment Analysis Techniques for Social Media-Based Recommendation Systems”, National Academy Science Letters, 2021, IF:0.416
26. T. Munirathinam, S. Ganapathy, A. Kannan. “Cloud and IoT based privacy preserved e-Healthcare system using secured storage algorithm and deep learning”, vol 39, issue.3, 2021, ( IF:1.851)
27. M. Selvi, S.V.N.S. Kumar, S. Ganapathy, A. Ayyanar, HK Nehemiah, A Kannan, “An energy efficient clustered gravitational and fuzzy based routing algorithm in WSNs”, Wireless Personal Communications 116 (1), 61-90, 2021. (IF:1.050)
28. RV Karthik, S Ganapathy, “A fuzzy recommendation system for predicting the customers interests using sentiment analysis and ontology in e-commerce”, Applied Soft Computing, Vol.108, Article No.107396, pp.1-18, April 2021. IF: 5.672
29. S Pradeep, S Muthurajkumar, S Ganapathy, A Kannan, “A Matrix Translation and Elliptic Curve Based Cryptosystem for Secured Data Communications in WSNs”, Wireless Personal Communications, 1-20, February 2021. IF: 1.050
30. AR Rajeswari, S Ganapathy, K Kulothungan, A Kannan, “An efficient trust based secure energy; aware clustering to mitigate trust distortion attack in mobile adhoc network”, Concurrency and Computation: Practice and Experience, e6223, April 2021. IF: 1.447
31. Balasubramanian Prabhu Kavin and Sannasi Ganapathy, “A New Digital Signature Algorithm for Ensuring the Data Integrity in Cloud using Elliptic Curves”, INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY 18 (2), pp. 180-190, March 2021. IF:0.654 ISSN: 1683-3198
32. P Suthanthiramani, M Sannasy, G Sannasi, K Arputharaj, “Secured Data Storage and Retrieval using Elliptic Curve Cryptography in Cloud”, International Arab Journal Of Information Technology 18 (1), 56-66, January 2021. IF:0.654
33. AR Rajeswari, K Kulothungan, Sannasi Ganapathy, Arputharaj Kannan, “Trusted energy aware cluster based routing using fuzzy logic for WSN in IoT”,Journal of Intelligent & Fuzzy Systems, vol. 40, no. 5, pp. 9197-9211, April 2021. IF: 1.851
34. Balasubramanian Prabhu Kavin and Sannasi Ganapathy, “A New Digital Signature Algorithm for Ensuring the Data Integrity in Cloud using Elliptic Curves”, International Arab Journal Of Information Technology 18 (2), pp. 180-190, March 2021. IF:0.654
35. Richa and Punam Bedi, Trust and Distrust based Cross-domain Recommender System, Applied Artificial Intelligence, Vol.35, issue.4, 2021, ( IF:1.172)
36. K. Pradeep, L. Javid Ali, N. Gobalakrishnan, C. J. Raman and N. Manikandan, CWOA: Hybrid Approach for Task Scheduling in Cloud Environment, The Computer Journal,2021, (IF:1.077)
37. Azath, Maheswari.R, PandiMurgan, Sangeetha ,An Enhanced Framework for Ensemble Effort Estimation By using Recursive based Cl, IET Software,vol.15, issue.1, 2021, (IF:1.258)
38. B. Prasanalakshmi, K. Murugan, Karthik Srinivasan, S. Shridevi, Shermin Shamsudheen & Yu-Chen Hu, Improved authentication and computation of medical data transmission in the secu, Springer – Journal of Supercomputing, IF:2.469, (2021)
39. Geeta Atkar, Priyadarshini J, Speech Synthesis using generative adversarial network for improving readability, Neural Computing and Applications, IF:4.774, (2021)
40. Sukanya G, Priyadarshini J, A Meta Analysis of Attention Models on Legal Judgment Prediction System, International Journal of Advanced Computer Science and Applications, (IF:1.09), (2021)
41. Sathiyabhama, B., Kumar, S.U., Jayanthi, J. et al. A novel feature selection framework based on grey wolf optimizer for mammogram image analysis. Neural Comput & Applic (2021). (IF:4.77)
42. G. Raja, S. Suresh, S. Anbalagan, A. Ganapathisubramaniyan and N. Kumar, “PFIN: An Efficient Particle Filter-Based Indoor Navigation Framework for UAVs,” in IEEE Transactions on Vehicular Technology, vol. 70, no. 5, pp. 4984-4992, May 2021, (5.978)
43. Arul, R., Alroobaea, R., Mechti, S. et al. Intelligent data analytics in energy optimization for the internet of underwater things. Soft Comput (2021), (3.64)
44. Meghna Manoj Nair, Amit Kumar Tyagi “Privacy: History, Statistics, Policy, Laws, Preservation and Threat Analysis”, JIAS, Volume 16, June 2021, pp. 24-34.
45. Rahul Neware , A.Praveena , Dr.Parkavi K, Dr.K Baba Pai, Lokanayaki Karnan, Dr.Sivakumar Ponnusamy, Sensor Network Security in Low power Hardware development through NTPC, International Journal of Aquatic Science (7.86), (2021)
46. R. Girija, Anshula, H. Singh, Security-enhanced optical nonlinear cryptosystem based on modified Gerchberg–Sax, Optik – International Journal for Light and Electron Optics, 2021, (IF:2.443)
47. Preetha A.D., Kumar T.S.P, Securing IoT-based healthcare systems from counterfeit medicine penetration using Blockchain, Applied Nanoscience (Switzerland), 2021, (IF:3.674)
48. Noella R.S.N., Priyadarshini J., Diagnosis of Dementia Using a Generative Deep Convolution Neural Network, Arabian Journal for Science and Engineering, 2021, (2.334)
49. Pavithra Latha Kumaresan, Subbulakshmi Pasupathi, Sindhia Lingaswamy, Sreesharmila Thangaswamy, Vimal Shunmuganathan, Danilo Pelusi, Fruit-Fly optimization-based feature integration in image retrieval, Mathematical Biosciences and Engineering, 2021, Volume 18, Issue 5: 6178-6197, 2021, (2.08)
50. Jyoti Bhola, Mohammad Shabaz, Gaurav Dhiman, S. Vimal, P. Subbulakshmi, Sunil Kumar Soni, Performance Evaluation of Multilayer Clustering Network Using Distributed Energy, Wireless personal communication-springer, Vol.119, issue, 3, 2021, (IF:1.67)
51. Raamakirtinan S., Jenila Livingston L.M., Identifying Influential Spreaders in Complex Networks Based on Weighted Mixed Degree Decomposition Method, Wireless Personal Communications, 2021, (1.671)
52. Nanjappan M., Natesan G., Krishnadoss P., An Adaptive Neuro-Fuzzy Inference System and Black Widow Optimization Approach for Optimal Resource Utilization and Task Scheduling in a Cloud Environment, Wireless Personal Communications, 2021, (1.671)
53. Kumar R., Al-Turjman F., Srinivas L.N.B., Braveen M., Ramakrishnan J. ANFIS for prediction of epidemic peak and infected cases for COVID-19 in India, Neural Computing and Applications, 2021, (5.606)
54. Thirugnansambandam K., Bhattacharyya D., Frnda J., Anguraj D.K., Nedoma, Augmented node placement model in tWSN through multiobjective approach, Computers, Materials and Continua, 2021, (3.772)
55. Vijayalakshmi, A., Rajesh Kanna, B., Vijayalakshmi, C. (2021). Extrinsic parameter’s adjustment and potential implications in Plasmodium falciparum malaria diagnosis. Microscopy Research and Technique, 1– 12. 2021, (IF:2.7)
56. Nandi M., Anusha K. An Optimized and Hybrid Energy Aware Routing Model for Effective Detection of Flooding Attacks in a Manet Environment, Wireless Personal Communications, 2021, (1.671)
57. Aditya Kanodia, Prince Singh, Durgi Rajesh, G Malathi, Indian Sign Language Using Holistic Pose Detection, Turkish Journal of Physiotherapy and Rehabilitation, Vol 32, Issue 3, year 2021, 19746 – 19752
58. Sanket, S., Vergin Raja Sarobin, M., Jani Anbarasi, L. et al. Detection of novel coronavirus from chest X-rays using deep convolutional neural networks. Multimed Tools Appl (2021).
59. Thirugnanasambandam, K., Raghav, R.S., Anguraj, D.K. et al. Multi-objective Binary Reinforced Cuckoo Search Algorithm for Solving Connected Coverage target based WSN with Critical Targets. Wireless Pers Commun (2021), (IF:1.671)
60. Babukarthik R.G., Dhasarathan C., Kumar M., Shankar A., Thakur S., Cheng X., A novel approach for multi-constraints knapsack problem using cluster particle swarm optimization, Computers and Electrical Engineering,2021,(3.818)
61. G. Suseela, Y. A. V. Phamila, G. Niranjana, K. Ramana, S. Singh and B. Yoon, “Low Energy Interleaved Chaotic Secure Image Coding Scheme for Visual Sensor Networks Using Pascal’s Triangle Transform,” in IEEE Access, vol. 9, pp. 134576-134592, 2021, (3.745).
62. S. B. Prathiba, G. Raja, S. Anbalagan, K. Dev, S. Gurumoorthy and A. P. Sankaran, Federated Learning Empowered Computation Offloading and Resource Management in 6G-V2X, in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2021.3103124.
63. Pavithra L., Rekha D. Real Time Scheduling in TSCH for IoT Using Neurogenetic Algorithm, Wireless Personal Communications,2021,(1.671)
64. Venkatesan M., Lakshmipathy P., Vijayan Vani., Sundar R. Cardiac disease diagnosis using feature extraction and machine learning based classification with Internet of Things(IoT), Concurrency and Computation: Practice and Experience,2021,(1.536)
65. Shreyas Madhav A.V., Rajaraman R., Harini S., Kiliroor C.C. Application of artificial intelligence to enhance collection of E-waste: A potential solution for household WEEE collection and segregation in India, Waste Management and Research,2021,3.549
66. Varugeese A., Shahina A., Nawas K., Khan A.N., EarNet: Biometric Embeddings for End to End Person Authentication System Using Transient Evoked Otoacoustic Emission Signals, Neural Processing Letters,2021,2.908
67. Dhanapal, A., Nithyanandam, P., An OpenStack based cloud testbed framework for evaluating HTTP flooding attacks, Wireless Networks, 2021,2.602.
68. Thillaiarasu, N., Pandian, S.C., Vijayakumar, V., Prabaharan, S., Ravi, L., Subramaniyaswamy, V., Designing a trivial information relaying scheme for assuring safety in mobile cloud computing environment, Wireless Networks, 2021,2.602.
69. Sudhakar, M., Meena, M.J, An efficient interactive segmentation algorithm using color correction for underwater images, Wireless Networks, 2021, 2.602.
70. Joshua, C.J., Varadarajan, V. An optimization framework for routing protocols in VANETs: a multi-objective firefly algorithm approach, Wireless Networks, 2021, 2.602.
71. Karmel, A., Vijayakumar, V., Kapilan, R. Ant-based efficient energy and balanced load routing approach for optimal path convergence in MANET, Wireless Networks, 2021,2.602.
72. Anusooya, G., Vijayakumar, V, Reduced carbon emission and optimized power consumption technique using container over virtual machine, Wireless Networks, 2021, 2.602.
73. Narendra M., Valarmathi M.L., Anbarasi L.J. Watermarking techniques for three dimensional (3D) mesh models: a survey, Multimedia Systems, 2021, (1.935)
74. Pranav M.V., Shreyas Madhav A.V., Meena J., DeepRecog: Threefold underwater image deblurring and object recognition framework for AUV vision systems, Multimedia Systems, 2021, (1.935)
75. Anil A., Arun A.S., Ramchandar L., Balasundaram A. Parallelizing High-Frequency Trading using GPGPU, National Academy Science Letters, 2021, (0.788)
76. Sanket, S., Vergin Raja Sarobin, M., Jani Anbarasi, L. et al. Detection of novel coronavirus from chest X-rays using deep convolutional neural networks. Multimed Tools Appl (2021). (IF:2.757)
77. Sudha. Anbalagan et al., “Machine-Learning-Based Efficient and Secure RSU Placement Mechanism for Software-Defined-IoV,” in IEEE Internet of Things Journal, vol. 8, no. 18, pp. 13950-13957, 15 (2021), (9.93)
78. G. Raja, S. Anbalagan, A. Ganapathisubramaniyan, M. S. Selvakumar, A. K. Bashir and S. Mumtaz, “Efficient and Secured Swarm Pattern Multi-UAV Communication,” in IEEE Transactions on Vehicular Technology, vol. 70, no. 7, pp. 7050-7058, (2021), (5.978)
79. N. Manikandan, N. Gobalakrishnan, K. Pradeep, An Adaptive Neuro‑Fuzzy Inference System and Black Widow Optimization Approach, Wireless Personal Communications, 2021, (1,671)
80. R. Srinivasa Raghav , Kalaipriyan Thirugnanasambandam , Vijayakumar Varadarajan, Subramaniyaswamy Vairavasundaram, and Logesh Ravi, “Artificial Bee Colony Reinforced Extended Kalman Filter Localization Algorithm”, BigData, https://doi.org/10.1089/big.2020.0203
81. Dharini R.Parvathi R, A novel domain and event adaptive tweet augmentation approach for enhancing, Data & Knowledge Engineering, (IF:1.99), 2021.
82. J. Prassanna & Neelanarayanan Venkataraman, Adaptive regressive holt–winters workload prediction and firefly optimized lottery scheduling for load balancing in cloud, Wireless Networks, (IF:2.602), 2021.
83. Shivani Gupta, Kusum Lata Jain, Real Or Virtual: Personality Traits Analysis For Young Adults On The Basis Of Tw, Vol.57, issue.9, PP-524-528, (2021)
84. Anmol Mishra, Ansh Khattar, Ritik Agarwal, Pattabiraman V(2021), ” Comparative Review of Various Scheduling Algorithms”, PENSEE International Journal, Vol.51, No.1, pp. 275-286, (2021)
85. M A Prriyadarshini and S Renuka Devi, Detection of DDoS Attacks Using Supervised Learning Technique, Journal of Physics: Conference Series (2021)
86. Jayit Saha, Ishita Dasgupta, G. Malathi, Rajkumar Murugesan, A COMPREHENSIVE ANALYSIS OF THE EFFICIENT MECHANISMS TO DETECT OSA, International Journal of Current Research and Review, pp-91-96, (2021)
87. Christy Daniel, Shyamala Loganathan., A Comparison of Machine Learning and Deep Learning Methods with Rule Based Feat, International Journal of Intelligent Engineering and Systems,vol.14,issue.1, pp-42-52, (2021)

Year 2020

1. Poongodi, M., Sharma, A., Vijayakumar, V., Bhardwaj, V., Sharma, A. P., Iqbal, R., & Kumar, R. (2020). Prediction of the price of Ethereum blockchain cryptocurrency in an industrial finance system. Computers & Electrical Engineering, 81(1), 106527. (IF : 2.189)
2. Sukumar, A., Subramaniyaswamy, V., Vijayakumar, V., & Ravi, L. (2020). A secure multimedia steganography scheme using hybrid transform and support vector machine for cloud-based storage. Multimedia Tools and Applications, 1-25. (IF : 2.101)
3. Sethuraman, S. C., Vijayakumar, V., & Walczak, S. (2020). Cyber Attacks on Healthcare Devices Using Unmanned Aerial Vehicles. Journal of Medical Systems, 44(1), 29. (IF : 2.415)
4. Rajesh, K. B. (2018). Cybernetic microbial detection system using transfer learning. Multimedia Tools and Applications, 1(1), 1-18. (IF : 2.101)
5. Geetha, R., & Geetha, S. (2020). Embedding electronic patient information in clinical images: an improved and efficient reversible data hiding technique. Multimedia Tools and Applications, 1(1), 1-22. (IF : 2.101)
6. Geetha, R., & Geetha, S. (2020). Efficient high capacity technique to embed EPR information and to detect tampering in medical images. Journal of Medical Engineering & Technology, 1(1), 1-14. (IF : 1.4)
7. Suresh Kumar, D., & Jagadeesh Kannan, R. (2020). Reinforcement learning-based controller for adaptive workflow scheduling in multi-tenant cloud computing. The International Journal of Electrical Engineering & Education, Online First, 0020720919894199. (IF : 0.941)
8. Chakravarthi, S. S., & Kannan, R. J. (2020). Detection of anomalies in cloud services using network flowdata analysis. The International Journal of Electrical Engineering & Education, Online First, 0020720920901436. (IF : 0.941)
9. Sarobin, M. V. R. (2020). Optimized Node Deployment in Wireless Sensor Network for Smart Grid Application. Wireless Personal Communications, 111(3), 1431-1451. (IF : 0.929)
10. Rai, A. & Kannan, R. J. (2020). IP traffic modelling in scalable drone network for carrying scalable logistic operations. Wireless Personal Communications. Article in Press. (IF : 0.929)
11. Rekha, D. (2020). Sustainability modelling and green energy optimisation in microgrid powered distributed Fog Micro Data Centers in rural area. Wireless Networks, 1(1), 1-14. (IF : 2.405)
12. Jackson, C. J., Rekha, D., Vijayakumar, V., Carvalho, G. H. S. (2020) Optimal broadcast scheduling method for VANETs: an adaptive discrete firefly approach. Journal of Intelligent Fuzzy Systems, Accepted. (IF : 1.637)
13. Nancy, P., Muthurajkumar, S., Ganapathy, S., Kumar, S. V. N., Selvi, M., & Arputharaj, K. (2020). Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks. IET COMMUNICATIONS, 14(5), 888-895. (IF : 1.779)
14. Kalidoss, T., Rajasekaran, L., Kanagasabai, K., Sannasi, G., & Kannan, A. (2020). QoS aware trust based routing algorithm for wireless sensor networks. Wireless Personal Communications, 110(4), 1637-1658. (IF : 0.929)
15. Pandiyaraju, V., Logambigai, R., Ganapathy, S., & Kannan, A. (2020). An Energy Efficient Routing Algorithm for WSNs Using Intelligent Fuzzy Rules in Precision Agriculture. Wireless Personal Communications, 1(1), 1-17. (IF : 0.929)
16. Ramasamy, J., & Kumaresan, J. S. (2020). Image Encryption and Cluster Based Framework for Secured Image Transmission in Wireless Sensor Networks. Wireless Personal Communications, 1(1), 1-14. (IF : 0.929)
17. Kirthica, S., Saravanan, I., & Sridhar, R. (2020). Enhancing the Cloud Inter-operation Toolkit (CIT) to support multiple cloud service models. Journal of Grid Computing. Available Online. (IF : 3.288)
18. Chakravarthi, K. K., Shyamala, L., & Vaidehi, V. (2020). Budget aware scheduling algorithm for workflow applications in IaaS clouds. Cluster Computing, 1(1), 1-15. (IF : 2.04)
19. Chakravarthi, K. K., Shyamala, L., & Vaidehi, V. (2020). TOPSIS inspired Cost-Efficient Concurrent Workflow Scheduling Algorithm in Cloud. Journal of King Saud University-Computer and Information Sciences, 1(1), 15. (IF : 1.897)

20. N. Ilakiyaselvan, A. Nayeemulla Khan, A. Shahina. Deep learning approach to detect seizure using reconstructed phase space images[J]. The Journal of Biomedical Research, 2020, 34(3): 240-250.

Year 2019

1. Harini, S., & Pattabiraman, V. (2019). SeRA: Self-Repairing Architecture for Dark Silicon Era. Journal of Circuits, Systems and Computers, 28(6), 2050053. (IF : 0.595)
2. Malathi, D., Logesh, R., Subramaniyaswamy, V., Vijayakumar, V., & Sangaiah, A. K. (2019). Hybrid reasoning-based privacy-aware disease prediction support system. Computers & Electrical Engineering, 73, 114-127. (IF : 2.189)
3. Klug, N., Chauhan, A., Vijayakumar, V., & Ragala, R. (2019). k-RNN: Extending NN-heuristics for the TSP. Mobile Networks and Applications, 24(4), 1210-1213. (IF : 2.39)
4. Poongodi, M., Vijayakumar, V., Al-Turjman, F., Hamdi, M., & Ma, M. (2019). Intrusion Prevention System for DDoS Attack on VANET With reCAPTCHA Controller Using Information Based Metrics. IEEE Access, 7, 158481-158491. (IF : 4.098)
5. Devarajan, M., Subramaniyaswamy, V., Vijayakumar, V., & Ravi, L. (2019). Fog-assisted personalized healthcare-support system for remote patients with diabetes. Journal of Ambient Intelligence and Humanized Computing, 10(10), 3747-3760. (IF : 1.91)
6. Kumar, C., Sathish Kumar, K., Indra Gandhi, V., Vijayakumar, V., & Rawal, B. S. (2019). A novel distribution system reconfiguration for loss minimization using symbiotic organism search algorithm. Journal of Intelligent & Fuzzy Systems, 36(5), 4319-4326. (IF : 1.637)
7. Chakkaravarthy, S. S., Sangeetha, D., & Vaidehi, V. (2019). A survey on malware analysis and mitigation techniques. Computer Science Review, 32, 1-23. (IF : 5.392)
8. Athanesious, J. J., Chakkaravarthy, S. S., Vasuhi, S., & Vaidehi, V. (2019). Trajectory based abnormal event detection in video traffic surveillance using general potential data field with spectral clustering. Multimedia Tools and Applications, 78(14), 19877-19903. (IF : 2.101)
9. Marimuthu, P., Perumal, V., & Vijayakumar, V. (2019). OAFPM: optimized ANFIS using frequent pattern mining for activity recognition. The Journal of Supercomputing, 75(8), 5347-5366. (IF : 2.157)
10. Tembhare, A., Chakkaravarthy, S. S., Sangeetha, D., Vaidehi, V., & Rathnam, M. V. (2019). Role-based policy to maintain privacy of patient health records in cloud. The Journal of Supercomputing, 75(9), 5866-5881. (IF : 2.157)
11. JothiPrabha, A., & Bhargavi, R. (2019). Prediction of Dyslexia from Eye Movements Using Machine Learning. IETE Journal of Research, 1(1), 1-10. (IF : 0.793)
12. Maya Gopal, P. S., & Bhargavi, R. (2019). A novel approach for efficient crop yield prediction. Computers and Electronics in Agriculture, 165(1), 104968. (IF : 3.171)
13. Maya Gopal, P. S., & Bhargavi, R. (2019). Performance Evaluation of Best Feature Subsets for Crop Yield Prediction Using Machine Learning Algorithms. Applied Artificial Intelligence, 33(7), 621-642. (IF : 0.988)
14. Gopal, P. M., & Bhargavi, R. (2019). Optimum Feature Subset for Optimizing Crop Yield Prediction Using Filter and Wrapper Approaches. Applied Engineering in Agriculture, 35(1), 9-14. (IF : 0.74)
15. Prakash, B., & Viswanathan, V. (2019). Distributed cat modeling based agile framework for software development. Sadhana – Academy Proceedings in Engineering Sciences, 44(7), 166. (IF : 0.769)
16. Rajarajeswari, S., & Neelanarayanan, V. (2019). Dynamic rule generation and rule matching for composite environmental condition. Wireless Networks, 1(1), 1-9. (IF : 2.405)
17. Vijayalakshmi, A., & Rajesh Kanna, B. (2019). Deep learning approach to detect malaria from microscopic images. Multimedia Tools and Applications, 1(1), 1-21. (IF : 2.101)
18. Maheswari, M., & Geetha, S. (2019). Adaptable and proficient Hellinger Coefficient Based Collaborative Filtering for recommendation system. Cluster Computing, 22(5), 12325-12338. (IF : 2.04)
19. Hemalatha, J., Devi, M. K., & Geetha, S. (2019). Improving image steganalyser performance through curvelet transform denoising. Cluster Computing, 22(5), 11821-11839. (IF : 2.04)
20. Koteeswaran, S., Malarvizhi, N., Kannan, E., Sasikala, S., & Geetha, S. (2019). Data mining application on aviation accident data for predicting topmost causes for accidents. Cluster computing, 22(5), 11379-11399. (IF : 2.04)
21. Punithavathi, P., & Geetha, S. (2019). Partial DCT-based cancelable biometric authentication with security and privacy preservation for IoT applications. Multimedia Tools and Applications, 78(18), 25487-25514. (IF : 2.101)
22. Punithavathi, P., Geetha, S., Karuppiah, M., Islam, S. H., Hassan, M. M., & Choo, K. K. R. (2019). A lightweight machine learning-based authentication framework for smart IoT devices. Information Sciences, 484(1), 255-268. (IF : 5.524)
23. Bharathiraja, S. (2019). Anti-forensics contrast enhancement detection (AFCED) technique in images based on laplace derivative histogram. Mobile Networks and Applications, 24(4), 1174-1180. (IF : 2.39)
24. Dinesh Jackson Samuel, R., & Rajesh Kanna, B. (2019). A programmable microscopic stage: Design and development. Microscopy research and technique, 82(4), 429-442. (IF : 1.147)
25. Samuel, R. D. J., & Kanna, B. R. (2019). Tuberculosis (TB) detection system using deep neural networks. Neural Computing and Applications, 31(5), 1533-1545. (IF : 4.664)
26. Subburam, S., Selvakumar, S., & Geetha, S. (2018). High performance reversible data hiding scheme through multilevel histogram modification in lifting integer wavelet transform. Multimedia Tools and Applications, 77(6), 7071-7095. (IF : 2.101)
27. Rajkumar, S., & Malathi, G. (2019). Impact of image artifact and solution to the image quality issues in real time SAR images. Mobile Networks and Applications, 24(4), 1166-1173. (IF : 2.39)
28. Rai, A., & Kannan, R. J. (2019). Consensus-based decision making in non-linearly multi-coupled IoT networked SLAM operations. The International Journal of Electrical Engineering & Education, 1 (1), 0020720919883797. (IF : 0.941)
29. Kamaraj, P., & Kannan, R. J. (2019). Design and development of the optical control network active phased array radar. INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION, 1 (1), 10. (IF : 0.941)
30. Chakravarthi, S. S., & Kannan, R. J. (2019). Non-linear Dimensionality Reduction-based Intrusion Detection using Deep Autoencoder. Network, 10(8), 1. (IF : 0.14)
31. Rai, A., & Kannan, R. J. (2019). One-shot learning technique regression of reconfigurable learning network for generative modeling in interconnected imaging infrastructure. The International Journal of Electrical Engineering & Education, 1 (1), 0020720919895908. (IF : 0.941)
32. Rai, A., & Kannan, R. J. (2019). Co-simulation Based Finite State Machine for Telematic and Data Compression Microservices in IoT. Wireless Personal Communications, 105(3), 1069-1082. (IF : 0.929)
33. Narasappa, J. H., & Rekha, D. (2019). Energy aware methodical data forwarding (EAMDF) mechanism in VANET. Journal of Intelligent & Fuzzy Systems, 36(5), 4293-4303. (IF : 1.637)
34. Kumar, C., Sathish Kumar, K., Indra Gandhi, V., Vijayakumar, V., & Rawal, B. S. (2019). A novel distribution system reconfiguration for loss minimization using symbiotic organism search algorithm. Journal of Intelligent & Fuzzy Systems, 36(5), 4319-4326. (IF : 1.637)
35. Vijayakumar, V., Subramaniyaswamy, V., Abawajy, J., & Yang, L. (2019). Intelligent, smart and scalable cyber-physical systems. Journal of Intelligent and Fuzzy Systems, 36(5), 3935-3943. (IF : 1.637)
36. Md, A. Q., Varadarajan, V., & Mandal, K. (2019). Efficient algorithm for identification and cache based discovery of cloud services. Mobile Networks and Applications, 24(4), 1181-1197. (IF : 2.39)
37. Joshua, Christy. J., Duraisamy, R., & Varadarajan, V. (2019). A reputation based weighted clustering protocol in VANET: a multi-objective firefly approach. Mobile Networks and Applications, 24(4), 1199-1209. (IF : 2.39)
38. Joshua, Christy. J., & Varadarajan, V. (2019). An optimization framework for routing protocols in VANETs: a multi-objective firefly algorithm approach. Wireless Networks, 1 (1), 1-10. (IF : 2.405)
39. Anusooya, G., & Vijayakumar, V. (2019). Reduced carbon emission and optimized power consumption technique using container over virtual machine. Wireless Networks, 1 (1), 1-19. (IF : 2.405)
40. Anusooya, G., Vijayakumar, V., & Narayanan, V. N. (2019). Reducing the carbon emission by early prediction of peak time load in a data center. Journal of Intelligent & Fuzzy Systems, 36(5), 4341-4348. (IF : 1.637)
41. Sivakumar, V., & Rekha, D. (2020). A QoS‐aware energy‐efficient memetic flower pollination routing protocol for underwater acoustic sensor network. Concurrency and Computation: Practice and Experience, 32(4), e5166. (IF : 1.167)
42. Prassanna, J., & Venkataraman, N. (2019). Threshold based multi-objective memetic optimized round Robin scheduling for resource efficient load balancing in cloud. Mobile Networks and Applications, 24(4), 1214-1225. (IF : 2.39)
43. Prassanna, J., & Venkataraman, N. (2019). Adaptive regressive holt–winters workload prediction and firefly optimized lottery scheduling for load balancing in cloud. Wireless Networks, 1(1), 1-19. (IF : 2.405)
44. Varadarajan, V., Neelanarayanan, V., Doyle, R., Al-Shaikhli, I. F., & Groppe, S. (2019). Mobile Networks in the Era of Big Data. Mobile Networks and Applications, 24(4), 1135-1138. (IF : 2.39)
45. Varadarajan, V., Neelanarayanan, V., Doyle, R., Al-Shaikhli, I. F., & Groppe, S. (2019). Emerging Solutions in Big Data and Cloud Technologies for Mobile Networks. Mobile Networks and Applications, 24(3), 1015-1017. (IF : 2.39)
46. Selvi, M., Thangaramya, K., Ganapathy, S., Kulothungan, K., Nehemiah, H. K., & Kannan, A. (2019). An energy aware trust based secure routing algorithm for effective communication in wireless sensor networks. Wireless Personal Communications, 105(4), 1475-1490. (IF : 0.929)
47. Ganapathy, S. (2019). A secured storage and privacy-preserving model using CRT for providing security on cloud and IoT-based applications. Computer Networks, 151, 181-190. (IF : 3.03)
48. Kanimozhi, U., Ganapathy, S., Manjula, D., & Kannan, A. (2019). An intelligent risk prediction system for breast cancer using fuzzy temporal rules. National Academy Science Letters, 42(3), 227-232. (IF : 0.331)
49. Rajeswari, A. R., Kulothungan, K., Ganapathy, S., & Kannan, A. (2019). A trusted fuzzy based stable and secure routing algorithm for effective communication in mobile adhoc networks. Peer-to-Peer Networking and Applications, 12(5), 1076-1096. (IF : 2.397)
50. Perumal, S. P., Sannasi, G., & Arputharaj, K. (2019). An intelligent fuzzy rule-based e-learning recommendation system for dynamic user interests. The Journal of Supercomputing, 75(8), 5145-5160. (IF : 2.157)
51. Thangaramya, K., Kulothungan, K., Logambigai, R., Selvi, M., Ganapathy, S., & Kannan, A. (2019). Energy aware cluster and neuro-fuzzy based routing algorithm for wireless sensor networks in IoT. Computer Networks, 151, 211-223. (IF : 3.03)
52. Dhanapal, A., & Nithyanandam, P. (2019). An OpenStack based cloud testbed framework for evaluating HTTP flooding attacks. Wireless Networks, 1(1), 1-11. (IF : 2.405)
53. Vanamoorthy, M., & Devendran, V. (2019). Congestion-Free Transient Plane (CFTP) Using Bandwidth Sharing During Link Failures in SDN. The Computer Journal, 1(1), 10. (IF : 0.98)
54. Karmel, A., Vijayakumar, V., & Kapilan, R. (2019). Ant-based efficient energy and balanced load routing approach for optimal path convergence in MANET. Wireless Networks, 1(1), 1-13. (IF : 2.405)
55. Ravi, L., Subramaniyaswamy, V., Vijayakumar, V., Chen, S., Karmel, A., & Devarajan, M. (2019). Hybrid location-based recommender system for mobility and travel planning. Mobile Networks and Applications, 24(4), 1226-1239. (IF : 2.39)
56. Logesh, R., Subramaniyaswamy, V., Vijayakumar, V., & Li, X. (2019). Efficient user profiling based intelligent travel recommender system for individual and group of users. Mobile Networks and Applications, 24(3), 1018-1033. (IF : 2.39)
57. Vijayakumar, V., Priyan, M. K., Ushadevi, G., Varatharajan, R., Manogaran, G., & Tarare, P. V. (2019). E-health cloud security using timing enabled proxy re-encryption. Mobile Networks and Applications, 24(3), 1034-1045. (IF : 2.39)
58. Ravi, L., Subramaniyaswamy, V., Devarajan, M., Ravichandran, K. S., Arunkumar, S., Indragandhi, V., & Vijayakumar, V. (2019). SECRECSY: A secure framework for enhanced privacy-preserving location recommendations in cloud environment. Wireless Personal Communications, 108(3), 1869-1907. (IF : 0.929)
59. Subramaniyaswamy, V., Manogaran, G., Logesh, R., Vijayakumar, V., Chilamkurti, N., Malathi, D., & Senthilselvan, N. (2019). An ontology-driven personalized food recommendation in IoT-based healthcare system. The Journal of Supercomputing, 75(6), 3184-3216. (IF : 2.157)
60. Sharma, A., Rathee, G., Kumar, R., Saini, H., Varadarajan, V., Nam, Y., & Chilamkurti, N. (2019). A Secure, Energy-and SLA-Efficient (SESE) E-Healthcare Framework for Quickest Data Transmission Using Cyber-Physical System. Sensors, 19(9), 2119. (IF : 3.039)
61. Prachi Sarode and Reshmi TR 2019, Optimized Query Ordering Data Aggregation model using Neural Networks and Group Search Optimization in Wireless Sensor networks, Ad Hoc & Sensor Wireless Networks (AHSWN) (SCI Indexed) – In Press. (IF : 0.56)
62. Dhanashri W and Reshmi TR 2019, Cat-Swarm-Optimization-Based Energy-Efficient Re-liable Sectoring Scheme in WSN, Journal of Information Science & Engineering, Special Issue on “Advanced Networking and Communication Solutions for Wireless Mobile Networks” (SCI Indexed) – In Press. (IF : 0.525)

63. Satapathy A. & Jenila Livingston L.M.(2019, Oct). Optimized OpenCL™ kernels for frequency domain image high-boost filters using image vectorization technique. SN Applied Sciences, Springer International Publishing, p-ISSN: 2523-3963, e-ISSN: 2523-3971, Vol. 1, Issue -11, Pages: 1424. https://doi.org/10.1007/s42452-019-1445-9
64. D M Ajay and E Umamaheswari, “Packet Encryption for Securing Real-Time Mobile Cloud Applications”. Mobile Networks and Applications, Aug 2019, Volume – 24, Issue – 4, pp.1249-1254 (IF- 2.39).

Year 2018

1. Sethuraman, S. C., Dhamodaran, S., & Vijayakumar, V. (2018). Intrusion detection system for detecting wireless attacks in IEEE 802.11 networks. IET Networks, 8(4), 219-232. (IF : 2.58) (Available in 2019 publication)
2. Logesh, R., Subramaniyaswamy, V., Vijayakumar, V., Gao, X. Z., & Indragandhi, V. (2018). A hybrid quantum-induced swarm intelligence clustering for the urban trip recommendation in smart city. Future Generation Computer Systems, 83, 653-673. (IF : 4.639)
3. Vignesh, U., & Parvathi, R. (2018). 3D visualization and cluster analysis of unstructured protein sequences using ARCSA with a file conversion approach. The Journal of Supercomputing, 1-15. (IF : 2.157)
4. Indragandhi, V., Logesh, R., Subramaniyaswamy, V., Vijayakumar, V., Siarry, P., & Uden, L. (2018). Multi-objective optimization and energy management in renewable based AC/DC microgrid. Computers & Electrical Engineering, 70, 179-198. (IF : 2.189)
5. Mohanraj, V., Sibi Chakkaravarthy, S., Gogul, I., Sathiesh Kumar, V., Kumar, R., & Vaidehi, V. (2018). Hybrid feature descriptors to detect face spoof attacks. Journal of Intelligent & Fuzzy Systems, 34(3), 1411-1419. (IF : 1.637)
6. Suseela, G., & Phamila, Y. A. V. (2018). Energy efficient image coding techniques for low power sensor nodes: A review. Ain Shams Engineering Journal, 9(4), 2961-2972. (IF : 3.091)
7. Jasmine, S. G., & Pattabiraman, V. (2018). Improved pure pixel identification algorithms to determine the endmembers in hyperspectral images. Computers & Electrical Engineering, 71, 515-532. (IF : 2.189)
8. Sivakumar, V., & Rekha, D. (2018). Node scheduling problem in underwater acoustic sensor network using genetic algorithm. Personal and Ubiquitous Computing, 22(5-6), 951-959. (IF : 1.735)
9. Reshmi, T. R. (2018). Enhanced Passive Duplicate Address Detection (EPDAD) for Autoconfiguration in MANETs. Journal of Information Science & Engineering, 34(4), 10. (IF : 0.525)
10. Logambigai, R., Ganapathy, S., & Kannan, A. (2018). Energy–efficient grid–based routing algorithm using intelligent fuzzy rules for wireless sensor networks. Computers & Electrical Engineering, 68, 62-75. (IF : 2.189)
11. Muthurajkumar, S., Vijayalakshmi, M., Kannan, A., & Ganapathy, S. (2018). Optimal and energy efficient scheduling techniques for resource management in public cloud networks. National Academy Science Letters, 41(4), 219-223. (IF : 0.331)
12. Vijay Kumar, T. J., Naidu, L., Nehemiah, H. K., Ganapathy, S., & Kannan, A. (2018). Identification and classification of pulmonary nodule in lung modality using digital computer. Applied Mathematics and Information Sciences, 12(2), 451-459. (IF : 0.31)
13. Munuswamy, S., Saravanakumar, J. M., Sannasi, G., Harichandran, K. N., & Arputharaj, K. (2018). Virtual force-based intelligent clustering for energy-efficient routing in mobile wireless sensor networks. Turkish Journal of Electrical Engineering & Computer Sciences, 26(3), 1444-1452. (IF : 0.625)
14. Kirthica, S., & Sridhar, R. (2018). A residue-based approach for resource provisioning by horizontal scaling across heterogeneous clouds. International Journal of Approximate Reasoning, 101, 88-106. (IF : 1.982)
15. Kirthica, S., & Sridhar, R. (2018). Horizontal scaling and aggregation across heterogeneous clouds for resource provisioning. Computers & Electrical Engineering, 69, 301-316. (IF : 2.189)
16. Logesh, R., Subramaniyaswamy, V., Malathi, D., Sivaramakrishnan, N., & Vijayakumar, V. (2018). Enhancing recommendation stability of collaborative filtering recommender system through bio-inspired clustering ensemble method. Neural Computing and Applications, 1-24. (IF : 4.664)

17. K Dinesh Kumar and E Umamaheswari, “Prediction methods for effective resource provisioning in cloud computing: A survey”, Multiagent and Grid Systems, ISSN No. 1574-1702, Vol. 14, No. 3, pp. 283-305, 2018 (IF-0.56).

Year 2017

1. Subramaniam, J., Kannan, R. J., & Ebenezer, D. (2017). Parallel and pipelined 2-D median filter architecture. IEEE Embedded Systems Letters, 10(3), 69-72. (IF : 1.5) (Available in 2018 publications)
2. Audithan, S., Vijayasaro, V., Vijayakumar, P., & Vijayakumar, V. (2017). An Efficient Authentication Scheme for Mobile Cloud Computing Services. Journal of Information Science & Engineering, 33(3). (IF : 0.525)
3. Pandiaraja, P., Vijayakumar, P., Vijayakumar, V., & Seshadhri, R. (2017). Computation Efficient Attribute Based Broadcast Group Key Management for Secure Document Access in Public Cloud. Journal of Information Science & Engineering, 33(3). (IF : 0.525)
4. Sangeetha, D., & Vaidehi, V. (2017). Improved Searchable Attribute Based Encryption in Cloud. Journal of Information Science & Engineering, 33(3). (IF : 0.525)
5. Muthumeenakshi, R., Reshmi, T. R., & Murugan, K. (2017). Extended 3PAKE authentication scheme for value-added services in VANETs. Computers & Electrical Engineering, 59(1), 27-38. (IF : 2.189)
6. Reshmi, T. R., & Murugan, K. (2017). Light weight cryptographic address generation (LW-CGA) using system state entropy gathering for IPv6 based MANETs. China Communications, 14(9), 114-126. (IF : 1.882)
7. Sasikala, S., alias Balamurugan, S. A., & Geetha, S. (2017). A novel adaptive feature selector for supervised classification. Information Processing Letters, 117(1), 25-34. (IF : 0.605)
8. Bharathi, C., Rekha, D., & Vijayakumar, V. (2017). Genetic algorithm based demand side management for smart grid. Wireless personal communications, 93(2), 481-502. (IF : 0.929)
9. Prabakaran, N., & Kannan, R. J. (2017). Sustainable life-span of WSN nodes using participatory devices in pervasive environment. Microsystem Technologies, 23(3), 651-657. (IF : 01.513)
10. Subramaniam, J., Kannan, R. J., & Ebenezer, D. (2017). Fast median-finding word comparator array. Electronics Letters, 53(21), 1402-1404. (IF : 1.343)
11. Jayaram, B., Arumugam, S., & Thulasiraman, K. (2017). Dominator sequences in bipartite graphs. Theoretical Computer Science, 694, 34-41. (IF : 0.718
12. Muthurajkumar, S., Ganapathy, S., Vijayalakshmi, M., & Kannan, A. (2017). An intelligent secured and energy efficient routing algorithm for MANETs. Wireless Personal Communications, 96(2), 1753-1769. (IF : 0.929)
13. Selvi, M., Velvizhy, P., Ganapathy, S., Nehemiah, H. K., & Kannan, A. (2019). A rule based delay constrained energy efficient routing technique for wireless sensor networks. Cluster Computing, 22(5), 10839-10848. (IF : 2.04)
14. Saraswathi, S., Devi, S. R., & Yogesh, P. (2017). Secure Smart Card Based Remote User Authentication Scheme for Multi-Server Environment to Eliminate Smart Card Security Breach. Journal of Computational and Theoretical Nanoscience, 14(11), 5174-5183.
15. Prasad, M., & Manoharan, R. (2015). DS-AKA-A Novel Secured Authentication Protocol for LTE-A Using Public Key Cryptography. Journal of Internet Technology, 18(4) , 753-763. (IF : 0.715)

Year 2016

1. Muralidhar. A., Pattabiraman. V., & Sathe, A.A. (2016). A novel approach to extract greater profitable itemsets. International Journal of Pure and Applied Mathematics 109(8), 83-90.
2. Anuradha, A., & Viswanathan, V. (2016). Store attribute (s) preference of customers towards organised food and grocery retail outlets-a gap analysis. International Journal of Business Excellence, 10(1), 120-138.
3. Viswanathan, V. (2016). Discovery of semantic associations in an RDF graph using bi-directional BFS on massively parallel hardware. International Journal of Big Data Intelligence, 3(3), 176-181.
4. Nachiyappan, S., & Selwyn, J. (2016). Big data validation needs and challenges. International Journal of Pharmacy and Technology, 8(4), 21998-22008.
5. Nachiyappan, S. and Selwyn, J. (2016). Towards an automated testing framework for big data. International Journal of Control Theory and Applications. 9(52),1.
6. Saikia, S., Saleena, B., & Prakash, B. (2016). Enhancing the accuracy of prediction and classification of crime using SVM. International Journal of Control Theory and Applications, 9(52), pp. 1-11.
7. Ajay, D.M. & Umamaheswari, E. (2016). Why, how cloud computing – how not and cloud security issues. Global Journal of Pure and Applied Mathematics, 12(1), 1-8.
8. Ajay, D.M. & Umamaheswari, E. (2016). Evaluating the efficiency of security mechanisms in cloud environments. International Journal of Control Theory and Applications, 9(51), 75-85.
9. Hema, N., & Selwyn, J. (2016). Knowledge base representation model for a structured repository, International Journal of Engineering Science and Computing, 6(3), 2126-2132.
10. Hema N., & Selwyn, J. (2016). Generation of ICD code using graph form of knowledge representation. International Journal of Control Theory and Applications, 9(52), 9-21.
11. Hepsiba Mabel, V., & Selwyn, J. (2016). A review on the knowledge representation models and its implications. International Journal of Information Technology and Computer Science (IJITCS), 8(10), 72-81.
12. Priya, M. K., & Selwyn, J. (June,2016). An exploratory study on the practices of knowledge management in software development organizations. International Journal of Business Intelligents, 5(1), 1-7.
13. Nimbalkar, Y. A., & Justus, S. (2016). Design of layers in knowledgebase for expert systems. IOSR Journal of Computer Engineering, 18(3), 89-93.
14. Kamala, S. P. R., & Justus, S. (2016). Towards MORK: Model for Representing Knowledge. International Journal of Modern Education and Computer Science, 8(3), 45.
15. Nachiyappan, S., & Selwyn, J. (2016, March). Understanding and addressing technical challenges for big data. International Journal of Engineering Science and Computing, 6(3), 2132-2135.
16. Mehta, S., Singh, R.K., & Sivabalakrishnan, M. (2016). Analyzing the cancer to improve the health using big data analytics: a review. International Journal of Control Theory and Applications, 9(52), 1.
17. Bhargavi, R. (2016). Online Dynamic Regressive Learning. International Journal of Applied Engineering Research, 11(3), 2085-2090.
18. Bhargavi, R., & Abraham, M.S. (2016). A study and evaluation of Hoeffding tree for stream data mining. International Journal of Engineering and future Technology, 8(8), 18- 27.
19. Rajkumar, S., & Malathi, G. (2016). A comparative analysis on image quality assessment for real time satellite images. Indian J. Sci. Technol, 9.
20. Rajkumar, S., Malathi, G., Kumar, D.V. (2016). An axiomatic image enhancement algorithm in the field of image processing application, International Journal of Control Theory and Applications, 51(9),187-193.
21. Punithavathi, P., & Geetha, S. (2016). Securing multimodal biometrics using random projection-based template transformation. International Journal of Control Theory and Applications, 9(52), 33–43.
22. Nirmala, G., Geetha, S., & Selvakumar, S. (2016). Mobile robot localization and navigation in artificial intelligence: Survey. Computational Methods in Social Sciences, 4(2), 12.
23. Geetha, S., & Sharma, S. (2016). Implementation of artificial neural networks in multimodal image recognition and text. International Journal of Advanced Research, 4(8), 1285–1291.
24. Kanmani, A., Karthikeyan, N. & Geetha, S. (2016). High capacity separable data hiding using repeated histogram modification in integer wavelet transform domain. Asian Journal of Information Technology, 15(5), 862-865.
25. Hussain, S.H., Geetha, S., & Prabakar, M.A. (2016). Design and implementation of adaptive model for sustainable home automation using Internet Of Things (IoT). International Journal of Advanced Engineering Technology, 7(1), 827-829.
26. Sivakumar, T. B., Geetha, S., & AmuthaPrabhakar, M. (2016). An efficient advanced hierarchical attribute based scheme with asymmetric encryption for personal health records in cloud computing. Int J Adv Engg Tech, 7(1), 892-895.
27. Sandhya P. (2016, March). Developing evaluators for e-commerce application, International Journal of Applied Engineering Research, 11(5), 3386-3389.
28. Suseela, G., & Y. Phamila, Y.A.V. (2016). Gamboled image compression technique for low power devices with binary DCT and torus automorphism”, International Journal of Engineering Science and Computing, 6(6), 6655-6657.
29. Kalaivani, K., & Phamila, Y.A.V. (2016). Analysis of image fusion techniques based on quality assessment metrics. Indian Journal of Science and Technology, 9 (31), 1-8.
30. Suseela, G., & Y. Phamila, Y.A.V. (2016). Secured image compression using wavelet transform. Indian Journal of Science and Technology, 9, 33.
31. Jasmine, S.G, & Pattabiraman. V. (2016). Performance evaluation of dimensionality reduction in hyperspectral imaging, International Journal of Control Theory and Applications, 9(52), 169-178.
32. Ibrahim. S.P, & Sivabalakrishnan, M. (2016, March). Efficient algorithm for frequent itemset generation in big data, International Journal of Advanced Research in Science, Engineering and Technology, 3(3), 1735-1740.
33. Ibrahim. S.P, & Sivabalakrishnan, M. (2016, January). Minimize the utilization of household items using FP-tree, International Journal for Research in Applied Science and Engineering Technology(IJRASET), 4(1), 330-337.
34. Ibrahim. S.P, & Sivabalakrishnan, M. (2016, January). Glaucoma prediction system using associative classification, International Journal of Multidisciplinary Research Centre (IJMRC), 2(8), 1-4.
35. Jeeva, S., & Sivabalakrishnan, M. (2016). Robust background subtraction for real time video processing. International Journal of Pure and Applied Mathematics, 109(5), 117-124.
36. Singh, R.K., & Sivabalakrishnan, M. (2016, December). Analyzing the impact of diseases on cancer to improve the health using big data analytics: a review, International Journal of Control Theory and Applications ,9(52), 199-203.
37. Jeeva, S., & Sivabalakrishnan, M. (2016). Background estimation techniques, a review, International Journal of Control Theory and Applications, 9(52), 199-203,
38. Sivagami, M., Revathi, T., & Jeganathan L. (2016). Adaptive foreground object extraction in real time videos using fuzzy c means with weber principle, Indian Journal of Science and Technology. 9(29), 1-9.
39. Bhatt, M.L.S., & Bharathiraja, S. (2016). Rainy image restoration using iterative algorithm. International Journal of Applied Engineering Research, 10(34), 27158-27161.
40. Bharathiraja, S., & Kanna, B.R. (2016, December). Pragmatic analysis on drowning detection system in swimming pool, International Journal of Control Theory and Applications, 9(51),
41. Samuel, R.D.J., & Kanna, B.R. (2016). Design to automate the identification and counting of tuberculosis bacilli, International Journal of Control Theory and Applications, 9 (52), 303-310.
42. Vincent, R., & Vijayakumar, V. (2016). Analyzing prospects of autistic children to create context aware ambiance. International Journal of Pure and Applied Mathematics, 109(10), 129-137.
43. Rukmani, P., & Ganesan, R. (2016). Enhanced low latency queuing algorithm for real time applications in wireless networks. International Journal of Technology, 7(4), 663-672.
44. Maheswari, R., & Pattabiraman, V. (2016). Petri Net-based System Modelling for Performance Analysis of Reconfigurable Soft-core Processor using FPGA. International Journal of Technology, 7(6), 1054-1067.
45. Sarobin, V. R. M., & Ganesan, R. (2016). Bio-Inspired, cluster-based deterministic node deployment in wireless sensor networks. International Journal of Technology, 7(4), 673-682.
46. Sarobin, V. R. M., & Thomas, L. A. (2016). Improved LEACH algorithm for energy efficient clustering of wireless sensor network (WSN). International Journal of Technology, 7(1), 50-60.
47. Aparna Vijaya and, “A Model Driven Framework for Portable Cloud Services”, International Journal of Electrical and Computer Engineering, ol. 6(2):708 – 716, 2016.
48. Vijaya, A., & Neelanarayanan, V. (2016). A Model Driven Framework for Portable Cloud Services. International Journal of Electrical & Computer Engineering, 6(2), 708-716.
49. Asha Shiny, X. S., & Jagadeesh Kannan, R. (2016). Maximizing Energy Based on SNR using Self Organizing Map in MANETs. International Journal of Computing, 5(1), 1-10.
50. Shinde, S.S., Manusmare, R.P., Lawange, A., & Kannan, R.J. (2016). Neural network based biometric technology for fingerprint classification. International Journal of Pharmacy and Technology (IJPT),8(3), 18742-18754.
51. Waghmare, A., Verma, N., Gaur, A., & Kannan, R.J. (2016). Neural network based feature analysis of mortality risk by heart failure, International Journal of Pharmacy and Technology (IJPT), 8(3), 18755-18762.
52. Devendra, K.C., Tomar, A.S., Javali, P.N., & Kannan, R.J. (2016). Facial emotion recognition using neural network. International Journal of Pharmacy and Technology (IJPT), 8(3), 18727-18733.
53. Bhopale, M., Kshatriya, A., Kumar, P., & Kannan, R.J. (2016). Fuzzy based system for analysis of DDOS attacks. International Journal of Pharmacy and Technology (IJPT),8 (3), 18718-18726.
54. Nath, N.D., Saikia, S., & Kannan, R. J. (2016). Congestion control in TCP/IP using TAHOE. International Journal of Pharmacy and Technology (IJPT), 8(3), 17588-17600.
55. Prabakaran, N., & Kannan, R.J. (2016). Context centered response for enabling pervasive environment using data centric WSNS. International Journal of Pharmacy and Technology (IJPT), 8(3), 15485-15496.
56. Harshini, K.S., Rohini, T., Bansal, R., & Kannan, R.J. (2016). Neural model for ingredient level based multimodal cuisine recognition. International Journal of Pharmacy and Technology (IJPT), 8(3), 18734-18741.
57. Prabakaran,N., & Kannan, R.J. (2016). A smart wireless access infrastructure for ubiquitous environment in healthcare. International Journal of Pharma and Bio Sciences, Special Issue on Health Care Technology & Management, 1(1), 239 – 244.
58. Umadevi, K.S., & Kannan, R.J. (2016). F-MAC: an optimal clustering based fault tolerant system for underwater acoustic sensor networks. International Journal of Pure and Applied Mathematics, 109 (8), 177 – 184.
59. Mishra, V., Jain, H., Nagra, A., Naresh, K., & Kannan, R.J. (2016). Queuing models for mobile communication approaches. International Journal of Pharmacy & Technology, 8(4), 5291 – 5302.
60. Prabhakaran, R., & Asha, S. (2016). Enhancing cyber security on substation automation using RGK algorithm. International Journal of Control Theory and Applications, 9 (51), 217 -224.
61. Ismail, A.S., & Asha, S. (2016). Data security in cloud computing by using three tier method. International Journal of Control Theory and Applications, 9 (51), 123-132.
62. Prabhakaran, R., & Asha, S. (2016). Enhancing cyber security on substation automation using RSA algorithm. International Journal of Control Theory and Applications. 9 (51), 225-232.
63. Annamalai, C., & Asha, S. (2016). Energy efficient resource allocation techniques in cloud: a review. International Journal of Control Theory and Applications, 9 (52), 141-146.
64. Venkatesh, A., & Asha, S. (2016). intrusion detection system using modified particle swarm optimization. International Journal of Control Theory and Applications, 9 (52), 283-292.
65. Asha, S., & Ismail, A.S. (2016, May). Security issues and solutions in cloud computing – a survey. International Journal of Computer Science and Information Security, 14(5), 309.
66. Jayasudha, M., Thaneker, S.H., & Subbulakshmi, T. (2016). Secured data authentication and confidentiality in cloud computing using RSA with homomorphic encryption technique. International Journal of Control Theory and Application, 9(52), 1-9.
67. Jayasudha, M., Riteesh, K.S., & Subbulakshmi, T. (2016). data retrieval in private and public cloud using attribute based encryption. International Journal of Control Theory and Application, 9(51), 233-239.
68. Anusha, K., & Sathiyamoorthy, E. (2016). Omamids: ontology based multi-agent model intrusion detection system for detecting web service attacks. Journal of Applied Security Research, 11(4), 489-508.
69. Anusha, K., & Sathiyamoorthy, E. (2016). A decision tree-based rule formation with combined PSO-GA algorithm for intrusion detection system. International Journal of Internet Technology and Secured Transactions, 6(3), 186-202.
70. Anusha, K., & Sathiyamoorthy, E. (2016). Comparative study for feature selection algorithms in intrusion detection system. Automatic Control and Computer Sciences, 50(1), 1-9.
71. Rao, U.S., Jeganathan, L., & Mathew, T., (2016). Error bounds for darboux integral of continuous functions with supremum norm using cellular automaton. International Journal of Control Theory and Application, 9(52), 179-190.
72. Mathew, T., Rao, U.S & Jeganathan, L. (2016). Cellular automata: a decision support system for stock market trading, International Journal of Computational Economics and Econometrics, 6(4), 366-378.
73. Rajeswari, A. R., Kulothungan, K., Ganapathy, S., & Kannan, A. (2016). Malicious nodes detection in MANET using back-off clustering approach. Circuits and Systems, 7(08), 2070.
74. Elumalaivasan, P., Kulothungan, K., Sannasi, G., & Arputharaj, K. (2016). Trust based Ciphertext policy attribute based encryption techniques for decentralized disruption tolerant networks. Aust. J. Basic & Appl. Sci, 10(2), 18-26.
75. Rafi. K.M., & Pattabiraman, V. (2016). Curing the curse of dimensionality with multi-fold deep denoising autoencoder. International Journal of Control Theory and Applications, 9(51), 113-122.
76. Sundari, R.S., & Pattabiraman, V. (2016). A complete investigation to demystify the math behind PCA using the MNIST dataset. International Journal of Control Theory and Applications, 9(51), 249-260.
77. Kamatchi, B., & Parvathi, R. (2016, June). call log analysis using different clustering approach. International Journal of Engineering Science and Computing, 6(6),6952 – 6954.
78. Vinodha, R., & Parvathi, R. (2016). Location Based Travelling Recommendation System Using Hypertext Induced Topic Search (HITS). International Journal of Pure and Applied Mathematics, 109(9), 248-256.
79. Kumar, S., Khobragade, A., Maheswari, N., & Prabakaran, A. (2016). Privacy Preservation in Social Network Using K-Nearest Perturbation Technique. International Journal of Computer Science and Information Security, 14(8), 146.
80. Kumar, S., Maheswari, N., & John, A.S. (2016). A randomized approach for privacy preservation. The International Journal of Science and Technology, 4(7), 69–74.
81. Mattani, N., Kumar, J. S., Prabakaran, A., & Maheswari, N. (2016). Privacy Preservation in Social Network Analysis using Edge Weight Perturbation. Indian Journal of Science and Technology, 9(37), 1-10.
82. Sariki, T.P., Kumar, G.B., & Kambhatla. (2016). Sarcasm detection. International Journal of Pharmacy & Technology, 8 (4), 22163-22181.
83. Phulla, D.K., & Kumar, G.B. (2016). Consonant analysis for indian english. International Journal of Control Theory and Applications, 9 (51), 241-248.
84. Jothi, R., Mohanty, S. K., & Ojha, A. (2016). Functional grouping of similar genes using eigenanalysis on minimum spanning tree based neighborhood graph. Computers in biology and medicine, 71, 135-148.
85. Phull, D. K., & Kumar, G. B. (2016). Vowel analysis for indian english. Procedia Computer Science, 93, 533-538.
86. Phull, D. K., & Kumar, G. B. (2016). Investigation of indian english speech recognition using cmu sphinx. International Journal of Applied Engineering Research, 11(6), 4167-4174.
87. Oliver, A. S., & Maheswari, N. (2016). Identifying the gestures of toddler, pregnant woman and elderly using segmented pigeon hole feature extraction technique and IR-threshold classifier. Indian J. Sci. Technol, 9, 39.
88. Mukane, S., & Maheswari, N. (2016). Privacy preserving clinical data of patients using data perturbation. International Journal of Pharmacy & Technology, 8(3), 18290-18299.
89. Vasuhi, S., & Vaidehi, V. (2016). An ensemble Kalman filtering algorithm for state estimation of jump Markov systems. International Journal of Engineering Systems Modelling and Simulation, 8(1), 1-7.

Year 2015

Muthukumar, B., Sindhu, S. S., Geetha, S., & Kannan, A. (2015). Intelligent network-misuse-detection-system using neurotree classifier. Neural Network World, 25(5), 541.
2. Karmel, A., & Jayakumar, C. (2015). Recurrent Ant Colony Optimization for Optimal Path Convergence in Mobile Ad Hoc Networks. KSII Transactions on Internet & Information Systems, 9(9), 10.
3. Phamila, A. V. Y., & Amutha, R. (2015). Energy-efficient low bit rate image compression in wavelet domain for wireless image sensor networks. Electronics Letters, 51(11), 824-826.
4. Phamila, A. V. Y., & Amutha, R. (2015). Energy-efficient low bit rate image compression in wavelet domain for wireless image sensor networks. Electronics Letters, 51(11), 824-826.
5. Shunmuganathan, S., Saravanan, R. D., & Palanichamy, Y. (2015). Secure and efficient smart-card-based remote user authentication scheme for multiserver environment. Canadian Journal of Electrical and Computer Engineering, 38(1), 20-30.
6. Viswanathan, V., & Krishnamurthi, I. (2015). Finding relevant semantic association paths using semantic ant colony optimization algorithm. Soft Computing, 19(1), 251-260.

Year 2014

1. Arivudainambi, D., & Rekha, D. (2014). Heuristic approach for broadcast scheduling, problem in wireless mesh networks. AEU-International Journal of Electronics and Communications, 68(6), 489-495. [IF: 2.853]
2. Malleswaran, M., Vaidehi, V., & Sivasankari, N. (2014). A novel approach to the integration of GPS and INS using recurrent neural networks with evolutionary optimization techniques. Aerospace Science and Technology, 32(1), 169-179. [IF: 2.829]
3. Fathima, A. A., Vaidehi, V., & Selvaraj, K. (2014). Fall detection with part-based approach for indoor environment. International Journal of Intelligent Information Technologies (IJIIT), 10(4), 51-69. [IF: 0.03]

Journal Publications (Scopus Indexed)

Year 2024

  1. Vijayaraj A.R., Pasupathi S, Potential directions on coronary artery disease prediction using machine learning algorithms: A survey, IAES International Journal of Artificial Intelligence.
  2. Subramanian N., Ravi L., Shaan M.J., Devarajan M., Choudhury T., Kotecha K., Vairavasundaram S, Securing Mobile Devices from Malware: A Faceoff Between Federated Learning and Deep Learning Models for Android Malware Classification, Journal of Computer Science
  3. Ravikumar A., Sriraman H., Lokesh S., Sai J., Circumventing Stragglers and Staleness in Distributed CNN using LSTM, EAI Endorsed Transactions on Internet of Things.
  4. Chaudhari D.A., Umamaheswari E., Technology-Enabled Medical IoT System for Drug Management, International Journal of Communication Networks and Information Security.
  5. Radha R., Balaji G., Anita X., Mridhula N SMART REPELLER: A Smart system to prevent Rhesus Macaque Trespassing in Human Settlements and Agricultural Areas EAI Endorsed Transactions on Internet of Things
  6. Prabhakar K., Manjula V.,Punitha P., Dudekula K.V., Ravi Teja P. Deciphering Market Dynamics: A Data Science and Machine Learning Approach Using Chaos Theory for Trend Prediction, International Journal of Intelligent Systems and Applications in Engineering
  7. Almahadin G., Subburaj M. Hiari M., Sathasivam Singaram S., Kolla B.P., Dadheech P., Vibhute A.D., Sengan S., Enhancing Video Anomaly Detection Using Spatio-Temporal Autoencoders and Convolutional LSTM Network SN Computer Science
  8. Ganesh N., Balamurugan M. Chohan J.S., Kalita K., Development of a Grey Wolf Optimized- Gradient Boosted Decision Tree Metamodel for Heart Disease Prediction, International Journal of Intelligent Systems and Applications in Engineering
  9. Abdullah A.S., Karthikeyan J., Gomathi V., Parkavi R., Rajarajeswari P., Enabling Technology Integrated Learning for Autistic Children Using Augmented Reality Based Cognitive Rehabilitation, SN Computer Science
  10. Kavitha D., Shobana S., Rajkumar S., Reddy G.R., Ramesh Babu P., Mukherjee P. Hyperspectral Image Classification Using Dimensionality Reduction Deep Networks International Journal of Intelligent Systems and Applications in Engineering
  11. S B., D J.A., Renjith P.N., Ramesh K., DDSS: Driver decision support system based on the driver behaviour prediction to avoid accidents in intelligent transport system International Journal of Cognitive Computing in Engineering
  12. Dhanasekaran P., Sakthivel V., Jayashri N., Hemawathi M.S., Kaliappan V.K., Artificial Intelligence Enabled Network Intrusion Detection Model (AI-NIDM) for Smart Grid Cyber-Physical Systems International Journal of Intelligent Systems and Applications in Engineering
  13. Kalita K.; Ganesh N.; Jayalakshmi S.; Chohan J.S.; Mallik S.; Qin H., Multi-Objective artificial bee colony optimized hybrid deep belief network and XGBoost algorithm for heart disease prediction Frontiers in Digital Health
  14. Sree T.R., Kanmani S., A comprehensive review of the role of soft computing techniques in municipal solid waste management, Environmental Technology Reviews
  15. Varshan V.S.; Rajakumaran G.; Usharani S.; Vincent R., A Multimodal Architecture with Visual-Level Framework for Virtual Assistant, International Journal of Intelligent Systems and Applications in Engineering.

Year 2023

  1. Sivakumar P.; Murugan M.; Somasundaram S.K.; Prabhu S.N., A novel optimised GWOAN algorithm for scheduling task and power consumption in MEC network, International Journal of Intelligent Systems Technologies and Applications.
  2. Bhatt N.; Vishanth A.; Singh D.; Radha R., The Advancement of Electronic Gadgets in 21st Century EAI, Endorsed Transactions on Energy Web.
  3. Sadatcharam Y.; Muruganadam D., A Review of Deep Learning Algorithms for Anomaly Detection in Videos, International Journal of Safety and Security Engineering.
  4. Sangeetha J.; Maria Anu V., A Conceptual Aquila Merged Arithmetic Optimization (Aiao) Integrated Auto-Encoder Based Long Short Term Memory (Aue-Lstm) For Sentiment Analysis, Journal of Applied Engineering and Technological Science.
  5. Bhuvaneswari A., Epidemic Intelligence Models In Air Traffic Networks For Understanding The Dynamics In Disease Spread – A Case Study Interdisciplinary Journal of Information, Knowledge, and Management.
  6. Mageshkumar N.; Swapna J.; Pandiaraj A.; Rajakumar R.; Krichen M.; Ravi V., Hybrid cloud storage system with enhanced multilayer cryptosystem for secure deduplication in cloud, International Journal of Intelligent Networks.
  7. Jaisakthi S.M., Desingu K., Mirunalini P., Pavya S., Priyadharshini N.A deep learning approach for nucleus segmentation and tumor classification from lung histopathological images Network Modeling Analysis in Health Informatics and Bioinformatics.
  8. Rajkumar S., Hariharan A., Girish S., Arulmurugan M., An Efficient Vehicle Detection and Shadow Removal Using Gaussian Mixture Models with Blob Analysis for Machine Vision Application, SN Computer Science
  9. V N.J.R., Tamboli M.S., Vallabhuni R.R., Shinde A., Kataraki K., Makineedi R.B., Block chain based integrated data aggregation and segmentation framework by reputation metrics for mobile adhoc networks, Measurement: Sensors.
  10. Deivendran P., Geetha C., Babu P.S., Malathi G., Analysis of Stock Price Fluctuations Accuracy using a Cloud-Based Recurrent Neural Network’s Long Short-Term Memory Model, SSRG International Journal of Electrical and Electronics Engineering.
  11. Anandarao S., Chellasamy S.H., A Comprehensive Study on Density Peak Clustering and its Variants, International Journal of Intelligent Systems and Applications in Engineering
  12. Arunachalam M., Babu N.K., Perumal A., Ganeshbabu R.O., Balasubramanian J.G., Cross-Layer Design for Combining Adaptive Modulation and Coding with DMMPP Queuing for Wireless Networks, Journal of Computer Science.
  13. Srilakshmi G., Praveen Joe I.R., A-DQRBRL: attention based deep Q reinforcement battle royale learning model for sports video classification, Imaging Science Journal.
  14. Renjith P.N., Sonker A., Saravanakumar R., Subramanian V., Gundu V., Ranjit P.S., MIMO- Multi Channel Synthetic Aperture Radar System with Higher Visibility for Autonomous Vehicles to Identify Mobile and Immobile Objects, Remote Sensing in Earth Systems Sciences.
  15. Rajaram K., Amma N.G.B., Selvakumar S., Convolutional neural network based children recognition system using contactless fingerprints, International Journal of Information Technology (Singapore).
  16. Hemalatha T., Bhuvaneswari A., Poornima N., Shubha B., Santhi K., Lawanyashri M., Mara G.C.Secure and private data sharing in CPS e- health systems based on CB-SMO techniques, Measurement: Sensors.
  17. Bharathi C., Rekha D., Load Forecasting for Demand Side Management in Smart Grid using Non- Linear Machine Learning Technique, Journal of Wireless Mobile Networks, Ubiquitous Computing and Dependable Applications.
  18. Mittal V., Kumar A., COVINet: A hybrid model for classification of COVID and Non-COVID pneumonia in CT and X-Ray imagery, International Journal of Cognitive Computing in Engineering.
  19. J S., Gangadhar C., Arora R.K., Renjith P.N., Bamini J., Chincholkar Y.D.E-commerce customer churn prevention using machine learning-based business intelligence strategy, Measurement: Sensors.
  20. Sriram S., Chitra P., Sankar V.V., Abirami S., Durai S.J.R., Low-loss data compression using deep learning framework with attention-based autoencoder, International Journal of Computational Science and Engineering.
  21. Selvakumar A., Balasundaram A.Automated Mango Leaf Infection Classification using Weighted and Deep Features with Optimized Recurrent Neural Network Concept, Imaging Science Journal.
  22. Boppana V., Sandhya P., Distributed Focused Web Crawling for Context Aware Recommender System using Machine Learning and Text Mining Algorithms, International Journal of Advanced Computer Science and Applications.
  23. Rajeshkumar G., Braveen M., Venkatesh R., Josephin Shermila P., Ganesh Prabu B., Veerasamy B., Bharathi B., Jeyam, Smart office automation via faster R- CNN based face recognition and internet of things, Measurement: Sensors.
  24. Renjith P.N., Bharati R., Thiyagu T.M., Vallabhuni, Smart filtering for user discovery and availing balance storage space continuity with faster big data service, Measurement: Sensors.
  25. Nagelli A., Saleena B., A Comparative Review of Sentimental Analysis Using Machine Learning and Deep Learning Approaches, Journal of Information and Knowledge Management.
  26. Lakshmipriya B., Jayalakshmy S.Wavelet scattering and scalogram visualization based human brain decoding using empirical wavelet transform, International Journal of Information Technology (Singapore).
  27. Satapathy A., Livingston L. M J., A lightweight convolutional neural network built on inceptio-residual and reduction modules for deep facial recognition in realistic conditions, Imaging Science Journal.
  28. Mishra S., Kumar Satapathy S., Mohanty S.N., Pattnaik C.R., A DM-ELM based classifier for EEG brain signal classification for epileptic seizure detection, Communicative and Integrative Biology.
  29. Kumar A., An XNOR-ResNet and spatial pyramid pooling-based YOLO v3- tiny algorithm for Monkeypox and similar skin disease detection, Imaging Science Journal.
  30. Ramana K.V., Muralidhar A., Balusa B.C., Bhavsingh M., Majeti S., An Approach for Mining Top-k High Utility Item Sets (HUI), International Journal on Recent and Innovation Trends in Computing and Communication.
  31. Subbulakshmi P., Vimal S., Robinson Y.H., Verma A., Nayak J., Comparative Evaluation of Attribute-Enabled Supervised Classification in Predicting the Air Quality, Spatial Information Research.
  32. Rajarajeswari S, Prasanna J, Abdul Quadir, Christy Jacskon, Sharma S, Rajesh B, Skin Cancer Detection using Deep Learning, Research Journal of Pharmacy and Technology.
  33. Nanda I, Sharma M, Gill G S, Rajesh M, Vincent R, Pawar U C, Trilateral Plane Estimation Between nodes for the Improved Home Automation System Performance with the Integrated Internet of Things, International Journal on Intelligent Systems and Applications in Engineering.
  34. Joe J.W., Ibrahim S.P.S., A Fast and Enhanced Approach for High Average Utility Itemset Mining with Lossy Items, International Journal of Intelligent Systems and Applications in Engineering.
  35. Goel N., Singaravelu M., Gupta S., Namana S., Singh R., Kumar R., Parameterized Clustering Cleaning Approach for High-Dimensional Datasets with Class Overlap and Imbalance, SN Computer Science.
  36. Rasi D., Antobennet M., Renjith P.N., Arun M.R., Vanathi D., YOLO Based Deep Learning Model for Segmenting the Color Images, International Journal of Electrical and Electronics Research.
  37. Thangaramya K., Kulothungan K., Logambigai R., Selvi M., Ganapathy S., Kannan A, Energy aware cluster and neuro-fuzzy based routing algorithm for wireless sensor networks in IoT, Computer Networks.
  38. Jagadeeswari V., Subramaniyaswamy V., Logesh R., Vijayakumar V., A study on medical Internet of Things and Big Data in personalized healthcare system, Health Information Science and Systems.
  39. Priyaadharshini M., Maiti M, Learning Analytics: Gamification in Flipped Classroom for Higher Education, Journal of Engineering Education Transformations.
  40. Balakrishnan S., Suresh T., Marappan R., Venkatesan R., Sabri A., New hybrid decentralized evolutionary approach for DIMACS challenge graph coloring & wireless network instances, International Journal of Cognitive Computing in Engineering.
  41. Vedaraj M., Anita C.S., Muralidhar A., Lavanya V., Balasaranya K., Jagadeesan P., Early Prediction of Lung Cancer Using Gaussian Naive Bayes Classification Algorithm, International Journal of Intelligent Systems and Applications in Engineering.
  42. Shitharth S., Manoharan H., Narayanan L., Malathi T., Vatchala S., Rao K.G, Prognosis of urban environs using time series analysis for preventing overexploitation using artificial intelligence, International Journal of Data Analysis Techniques and Strategies.
  43. Indirapriyadarshini A., Mahima S., Shahina A., Maheswari U., Khan A.N., Analysis on the Impact of Lombard Effect on Speech Emotions using Machine Learning, International Journal of Computing and Digital Systems.
  44. Goel N., Kumar T., Oswald C.A, Novel and Efficient Multilayered Approach to CAPTCHA: Design, Performance and Usability Evaluation, International Journal of Computer Information Systems and Industrial Management Applications.
  45. Raj S.A., Ramachandran V., Sundar G.N., Nachiyappan S., A Queueing Model-Based Experimental Analysis of Mobile-Energy Distribution Stations (M-Eds) for Smart City Urbanization, Journal of Advanced Research in Applied Sciences and Engineering Technology.
  46. Anand R.V., Abbod M.F., Fan S.-Z., Shieh J.-S., Depth Analysis of Anesthesia using EEG Signals via Time Series Feature Extraction and Machine Learning, Sci.
  47. Anusooya G., Sathyarajasekaran K., Bharathiraja S., Braveen M., Premalatha M., Power Consumption and Carbon Emission Equivalent for Virtualized Resources – An Analysis Virtual Machine and Container Analysis for Greener Data Center, International Journal on Recent and Innovation Trends in Computing and Communication
  48. Ghate V., Hemalatha C S A comprehensive comparison of machine learning approaches with hyper-parameter tuning for smartphone sensor-based human activity recognition Measurement:, Sensors
  49. Adiline Macriga G., Malarvizhi K., Sobitha Ahila S., Babu C N.K., Ayyasamy S., Yashaswini B.M Energy efficient greedy tree based algorithm for data aggregation in wireless sensor network Measurement:, Sensors
  50. Rajalakshmi R., Sivasankaran S., Shinow A.B., Abhimannan G., Boopathy C, Slag and Porosity Defective Region Identification in Welding Images Using Computer Vision Techniques Defect and Diffusion Forum
  51. Devi B.S.K., Subbulakshmi T. Intrusion detection and prevention of DDoS attacks in cloud computing environment: a review on issues and current methods International Journal of Cloud Computing
  52. Syed Ismail A., Asha S A novel redundancy technique to enhance the security of cloud computing International Journal of Cloud Computing
  53. Raj G.M., Dananjayan S., Agarwal N. Inception of the Indian Digital Health Mission: Connecting…the…Dots Health Care Science
  54. Birunda S.S., Devi R.K., Muthukannan M., Babu M.M., ACOVMD: Automatic COVID-19 misinformation detection in Twitter using self-trained semi-supervised hybrid deep learning model, International Social Science Journal
  55. Alyoubi K.H., Alotaibi F.S., Kumar A., Gupta V., Sharma A., A novel multi-layer feature fusion-based BERT-CNN for sentence representation learning and classification, Robotic Intelligence and Automation
  56. Shanmugavel S.B., Rangaswamy K.D., Muthukannan M A Deep Learning Model to Detect Fake News about COVID-19 Recent Advances in Computer Science and Communications
  57. Ahamed B., Sellamuthu S., Karri P.N., Srinivas I.V., Mohammed Zabeeulla A.N., Ashok Kumar M., Design of an energy-efficient IOT deviceassisted wearable sensor platform for healthcare data management Measurement: Sensors

Year 2022

  1. Anandarao S., Chellasamy S.H. , Detection of Hot Topic in Tweets Using Modified Density Peak Clustering , Ingenierie des Systemes d’Information, 2022.
  2. Kumar R., Geetha S. ,Effective Malware Detection using Shapely Boosting Algorithm International Journal of Advanced Computer Science and Applications, 2022.
  3. Sridharan S., Nirmal V., Soundar S., Maheswari N. , Sridharan S., Nirmal V., Soundar S., Maheswari N. , International Journal of Computing and Digital Systems ,2022.
  4. Geetha S., Saha J., Dasgupta I., Bera R., Lawal I.A., Kadry S. , Design of Waste Management System Using Ensemble Neural Networks , Designs,2022.
  5. Prathilothamai M., Viswanathan V. , Semantic Based Moving Weighted Average Model For Road Traffic Prediction , Indian Journal of Computer Science and Engineering,2022.
  6. Nasreen Fathima A.H., Syed Ibrahim S.P. Multi-stage deep investigation pipeline on detecting malign network traffic, Materials Today: Proceedings
  7. Gupta B., Madan G., Quadir Md A, A smart agriculture framework for IoT based plant decay detection using smart croft algorithm, Materials Today: Proceedings
  8. Srivatsan S., Maheswari N., Privacy Preservation in Social Network Data using Evolutionary Model, Materials Today: Proceedings
  9. Rani S., Kataria A., Chauhan M., Rattan P., Kumar R., Kumar Sivaraman A., Security and Privacy Challenges in the Deployment of Cyber-Physical Systems in Smart City Applications: State-of-Art Work, Materials Today: Proceedings
  10. Sathish S., Ashwin S., Abdul Quadir M., Pavithra L.K., Analysis of Convolutional Neural Networks on Indian food detection and estimation of calories, Materials Today: Proceedings
  11. Anusooya G., Kumar R, Improved water shower model for greener data centers, Materials Today: Proceedings
  12. Abhishek B., Panjanathan R., Raja Sarobin V., Edwin Raja B., Narendra M., Data security in e-health monitoring system, Materials Today: Proceedings
  13. Prabhakar Rao B.V.A.N.S.S., Kumar Singh R., Intelligent Vehicle Authentication System, Materials Today: Proceedings
  14. Sagayaraj M.F., George I.R., Vedhapriyavadhana R., Priya L.R. Artificial Intelligence to Combat the Sting of the Pandemic on the Psychological Realms of Human Brain, SN Computer Science
  15. Dinesh Jackson Samuel R., Rajesh Kanna B., A Fuzzy Strategy to Eliminate Uncertainty in Grading Positive Tuberculosis, International Journal of Computational Intelligence and Applications
  16. Bhuvaneswari Amma N.G., Valarmathi P., ORaBaN: an optimized radial basis neuro framework for anomaly detection in large networks, International Journal of Information Technology (Singapore)
  17. Joseph S., Ulahannan J.P., Parvathy A.J., Convergence of Comorbidity and Covid-19 Infection to Fatality: An Investigation Based on Health Assessment and Vaccination among Older Adults in Kerala, India, Asia Pacific Journal of Health Management
  18. Sriraman H., Ravikumar A., Pattabiraman V., ReAD: Reliability aware data, Materials Today: Proceedings
  19. Sudarsanam S.K., Neelanarayanan V., Umasankar V., Indranil S., Application of AI based expert evaluation method in an automobile supplier selection problem, Materials Today: Proceedings
  20. Chandrashekar C., Krishnadoss P., Opposition based sunflower optimization algorithm using cloud computing environments, Materials Today: Proceedings
  21. Patidar M., Shrivastava A., Miah S., Kumar Y., Sivaraman A.K., An energy efficient high-speed quantumdot based full adder design and parity gate for nano application, Materials Today: Proceedings
  22. Radha N., Shahina A., Nayeemulla Khan A., Velusami J.R.S., A new multi-stream approach using acoustic and visual features for robust speech recognition system, Materials Today: Proceedings
  23. Basit Z., Tabassum M., Sharma T., Furqan M., Quadir Md A., Performance analysis of OSPF and EIGRP convergence through IPsec tunnel using Multi-homing BGP connection, Materials Today: Proceedings
  24. Praveen Joe I.R., Malathy E.M., Aishwarya S., Akila R., Akshaya A., A Hybrid PSo-ACo Algorithm to Facilitate Software Project Scheduling, International Journal of e-Collaboration, 2022
  25. Hiremath S., Livingston L.M.J., Automatic synchronization of audio-visual contents with subtitles, Suranaree Journal of Science and Technology, 2022.
  26. Deivendran P., Babu P.S., Malathi G., Anbazhagan K., Kumar R.S., Emotion Recognition for Challenged People Facial Appearance in Social using Neural Network, International Journal of Engineering Trends and Technology, 2022
  27. Anbarasi L.J., Jawahar M., Ravi V., Cherian S.M., Shreenidhi S., Sharen H., Machine learning approach for anxiety and sleep disorders analysis during COVID-19 lockdown, Health and Technology, 2022
  28. Christy Jackson J., Prassanna J., Abdul Quadir M. Stock market analysis and prediction using time series analysis, Materials Today: Proceedings, 2022
  29. Sivakumar S., Rajalakshmi R., Context-aware sentiment analysis with attention-enhanced features from bidirectional transformers, Social Network Analysis and Mining, 2022
  30. Krishnadoss P., Chandrashekar C., Poornachary V.K., RCOA Scheduler: Rider Cuckoo Optimization Algorithm for Task Scheduling in Cloud Computing, International Journal of Intelligent Engineering and Systems, 2022
  31. Sudhakar K., Nithyanandam P., Identical twin matching based on multiple feature extractors, International Journal of Internet Technology and Secured Transactions, 2022
  32. Srinivasakumar V., Vanamoorthy M., Sairaj S., Ganesh S., An alternative C++-based HPC system for Hadoop MapReduce, Open Computer Science, 2022
  33. Geetha S., Parashar M., Abhishek J.S., Turaga R.V., Lawal I.A., Kadry S, Diabetic Retinopathy Grading with Deep Visual Attention Network, International journal of online and biomedical engineering, 2022
  34. Gokuldhev M., Raju D.N., Rajan R.A., Indu V.T, Darts game optimization with intuitionistic fuzzy kernel ridge regression for IoT based smart farming model, International Journal of Information Technology (Singapore), 2022
  35. Jawahar M., Jani Anbarasi L., Ravi V., Prassanna J., Jasmine S.G., Manikandan R., Sekaran R., Kannan S., CovMnet–Deep Learning Model for classifying Coronavirus (COVID-19), Health and Technology, 2022
  36. Lavanya K., Prakash S., Gedam Y., Aijaz A., Ramanathan L., Real Time Digital Face Mask Detection using MobileNet-V2 and SSD with Apache Spark, International Journal of Performability Engineering, 2022
  37. Pal S., Patel R., Vijayasherly V., Selvanambi R., Hashtag Recommendation System for Instagram Posts using Transfer Learning with Efficient Net and ALS Model, International Journal of Performability Engineering, 2022
  38. Jyotheeswari P., Jeyanthi N., Secure data transmission for protecting the users’ privacy in medical internet of things, International Journal of Advanced Intelligence
    Paradigms, 2022
  39. Sugumaran V., Jafar Ali Ibrahim S., Rough set based on least dissimilarity normalized index for handling uncertainty during E-learners learning pattern recognition, International Journal of Intelligent Networks, 2022
  40. Ramesh T., Santhi V., Multi-level classification technique for diagnosing osteoporosis and osteopenia using sequential deep learning algorithm, International Journal of System Assurance Engineering and Management, 2022
  41. Niveditha V.R., Palaniappan S., Naresh K., Nayak C.K., Swapna B., High speed low area decimation filter for hearing aid application, International Journal of Speech Technology, 2022
  42. Cyriac R., Durai M.A S., LMH-RPL: a load balancing and mobility aware secure hybrid routing protocol for low power lossy network, International Journal of Pervasive Computing and Communications, 2022
  43. Sarkar S.S., Kakad A., Satapathy S.M., Fast RWD net: implementation of novel real- time deep video denoising utilizing optimized Fast DVD net, Innovations in Systems and Software Engineering, 2022
  44. Saidulu D., Sasikala R., An optimal dimension reduction strategy and experimental evaluation for Parkinson’s disease classification, International Journal of Business Intelligence and Data Mining, 2022
  45. Selvakumar A., Balasundaram A., Machine Learning based Classification of Diseased Mango Leaves, International Journal on Recent and Innovation Trends in Computing and Communication, 2022
  46. Sandhya S., Balasundaram A., Sivaraman A., Deep Learning and Computer Vision based Model for Detection of Diseased Mango Leaves, International Journal on Recent and Innovation Trends in Computing and Communication, 2022
  47. Renuka Devi S., Shyamala L., Saraswathi S., Adaptive Learning Based Whale Optimization and Convolutional Neural Network Algorithm for Distributed Denial of Service Attack Detection in Software Defined Network Environment, International Journal on Recent and Innovation Trends in Computing and Communication, 2022
  48. Poovathy J.F.G., Sathish E., Paramanandham N., Viswanath A.L., Magnetic Adhesion in Wall Climbing Robots using varied Electromagnet Arrangements, Journal of Robotics and Control (JRC), 2022
  49. Senthilkumar G., Tamilarasi K., Kaviarasan S., Arun M., Trusty authentication of devices using blockchain-cloud of things (B-CoT) for fulfilling commercial services, International Journal of System Assurance Engineering and Management, 2022
  50. Nancy Noella R.S., Priyadarshini J., Machine learning algorithms for the diagnosis of Alzheimer and Parkinson disease, Journal of Medical Engineering and
    Technology, 2022
  51. Jeyavim Sherin R.C., Parkavi K., Investigations on Bio-Inspired Algorithm for Network Intrusion Detection – A Review, International Journal of Computer Networks and Communications, 2022.
  52. Prasad A., Prasad S., Arockiasamy K., Karthika P., Yuan X., Detection of DDoS Attack in Software- Defined Networking Environment and Its Protocol-wise Analysis using Machine Learning, International Journal of Intelligent Systems and Applications in Engineering, 2022, (IF 0.7)
  53. Khan B., S K., Agarwal S., M P., Thupakula B., Raja Ambethkar M., Assessment on economic power management for smart city through IoT sensor model, Measurement: Sensors.
  54. Akanksha, Suganeshwari G., An Improved Deep Learning Approach for Prediction of The Chronic Kidney Disease, International Journal of Electrical and Electronics Research.
  55. Shiny Christobel J., Vimala D., Joshan Athanesious J., Christopher Ezhil Singh S., Murugan S.Effectiveness of Feature Extraction by PCA-Based Detection and Naive Bayes Classifier for Glaucoma Images, International Journal of Digital Multimedia Broadcasting.
  56. Maiti M., Priyaadharshini M., Recommender System for Low Achievers in Higher Education, International Journal of Information and Education Technology.
  57. Saravanan S., Sivabalakrishnan M., Duraimurugan N., Divya D, Artificial Intelligence Security Model for Privacy Renitence In Big Data Analytics, Applied Mathematics and Information Sciences.
  58. Koshy S.S., Anbarasi L.J., Jawahar M., Ravi V., Breast cancer image analysis using deep learning techniques – a survey, Health and Technology.
  59. Sandhya P., Prabha R.K.P., Jayanthi R., Sujatha V., Asha N., Benjula Anbu Malar M.B, Comparison of Various Machine Learning Algorithms for Recognizing Text on the Medical Prescriptions, Journal of Pharmaceutical Negative Results.
  60. Ramesh K., Renjith P.N., Antobennet M., Balasubramani S., Certain Investigation on Improved Cluster Protocol with Trust security for Wireless Sensor Networks, International Journal of Electrical and Electronics Research.
  61. Ashoka Rajan R., Pon Bharathi A., Sarika A.S., Vedha Vinodha D, Multimodal Biometric Template Transformation Approach using a List Ranking Algorithm, Review of Computer Engineering Research.
  62. Monisha M., Rama Prabha K.P., Sujatha V., Viswanathan R.V., Tiwari M., Tiwari T., Balaji S., An Effectual Communication And Link Firmness Enhancement In Wireless Sensor Mobile Ad Hoc Networks, Journal of Pharmaceutical Negative Results.
  63. Krithika K.M., Maheswari N., Sivagami M, Models for feature selection and efficient crop yield prediction in the groundnut production, Research in Agricultural Engineering
  64. Fernandez J.J., Pandian N., Chavali R., Appalaghe A.K., Augmenting the detection of online image theft using diagonal transformation and iris biometric watermarking, International Journal of Information and Computer Security.
  65. Hema N., Selwyn J., Imputation of Missing Values in Healthcare Data using Predictive Modeling and Decision Tree, Journal of Pharmaceutical Negative Results.
  66. Prassanna J., Jani Anbarasi L., Rukmani P., Christy Jackson J., Rajesh B., Manikandan R., CNN based Framework for intelligent Diagnosis of Tuberculosis using Chest Radiographs, Research Journal of Pharmacy and Technology.
  67. Narayanavadivoo Gopinathan B.A., Sarveshwaran V., Ravi V., Chaganti R, LPCOCN: A Layered Paddy Crop Optimization-Based Capsule Network Approach for Anomaly Detection at IoT Edge, Information (Switzerland).
  68. Jagadeeswari V., Subramaniyaswamy V., Logesh R., Vijayakumar V, A study on medical Internet of Things and Big Data in personalized healthcare system, Health Information Science and Systems.
  69. Thangaramya K., Kulothungan K., Logambigai R., Selvi M., Ganapathy S., Kannan A, Energy aware cluster and neuro-fuzzy based routing algorithm for wireless sensor networks in IoT, Computer Networks.
  70. Jagadeeswari V., Subramaniyaswamy V., Logesh R., Vijayakumar V., A study on medical Internet of Things and Big Data in personalized healthcare system, Health Information Science and Systems.

Year 2021

1. Christy Jackson J., Prassanna J., Abdul QuadirMd., Sivakumar V. Stock market analysis and prediction using time series analysis”, Materials Today: Proceedings
2. Venkatesh Arumugam, Asha Seshasayanam. An adaptive multilevel location based key management system for dynamic wireless, International Journal of Applied Science and Engineering, vol.18, issue, 1, (2021)
3. M. Mehfooza, V. Pattabiraman. A new efficient learning approach E-PDLA in assessing the knowledge of breast cancer, International Journal of Services and Operations Management, vol.38, issue.2 pp-153-160, (2021)
4. Prabhakar, N., Anbarasi, L.J. Exploration of the global air transport network using social network analysis. Soc. Netw. Anal. Min. 11, 26 (2021).
5. Angelin Beulah S., Kartikay Kaul, Daksh Chauhan, Hepsiba Mabel V. Brain MRI Analysis and Segmentation using 2D-UNET Architecture, European Journal of Molecular & Clinical Medicine, vol.8, issue.3, pp-215-231, (2021)
6. Divya B., Karthick P. A., Ramakrishnan S. Muscle Fatigue Analysis in Isometric Contractions using Geometric Features, Biomedical Signal Processing and Control, (2021).
7. Malathy Jawahar, Anbarasi L.J., Prassanna J., Jackson C.J., Manikandan R., Alzubi, Diagnosis of COVID-19 using Optimized PCA based Local Binary Pattern Features, International Journal of Current Research and Review, pp-37-41, (2021).
8. Varsha R., Rukmani P., Vergin Raja Sarobin M., Graceline Jasmine S., L. Jani Anbarasi, Priya Mishra. Usage of Artificial Intelligence to Prevent and Regulate COVID-19, International Journal of Current Research and Review, pp-64-67, (2021).
9. S. Bangaru Kamatchi, Parvathi R. CROP- CLIMATE MANAGEMENT: A REVIEW, Journal of Critical Reviews, pp-871-880, (2021).
10. Yash Srivastava, Shikhar Bhardwaj, Parvathi. Covid-19 Forecasting and Analysis Using Different Time – Series Model and Algorithms, International Journal of Current Research and Review, pp-184-189, (2021).
11. Abhijit Biswas, P. Sandhya. Depression Detection from Facial Behavior through Deep Learning, Annals of the Romanian Society for cell biology, pp.5341-5349, (2021).
12. Ignisha Rajathi, Vedhapriyavadhana R., Pooranam N., Oswalt Manoj S. Holistic Education by breaking the binaries beyond the boundaries, Turkish Journal of Computer and Mathematics Education, pp.709-717, (2021)
13. C. Pallavi , R. Girija and S.L. Jayalakshmi. An Analysis on network security tools and systems, ELSEVIER-SSRN, (2021)
14. Kothandaraman D., Seena Naik Korra, Balasundaram A., Magesh Kumar S. Sequence number based secure routing algorithm for IoT networks, Materials Today: Proceedings, (2021)
15. Balasundaram A., Pradeep K.V., Sandhya S. An Extensive Study on Disease Prediction in Mango Trees Using Computer Vision, Annals of the Romanian Society for Cell Biology, pp.1895-1905, (2021).
16. Pradeep K. V., Balasundaram A., Rabindra Kumar Singh, IoT based Smart Irrigation for Agricultural Fields, Annals of the Romanian Society for Cell Biology, pp. 2000 – 2009, (2021)
17. Nitin Asthana, Shridevi S, DECRYPTING RSA ENCRYPTION USING QUANTUM ALGORITHM, Advances in Mathematics: Scientific Journal, pp. 729–742, (2021)
18. Rukmani P., Vergin Raja Sarobin M., Graceline Jasmine S., L. Jani Anbarasi. Usage of Artificial Intelligence to Prevent and Regulate COVID-19, International Journal of Current Research and Review, pp. 64-67,(2021).
19. Apurva Shashank, Rajiv Vincent. An Innovative Approach for Secured Smart Office and Home System using IoT, Journal of Physics, pp. 12056-12070, (2021).
20. Rajiv Vincent, Akshat Wagadre, Arun Kumar Sivaraman, M. Rajesh, Arun Rajesh. Human Activity Recognition Using LSTM/BiLSTM, International Journal of Advanced Science and Technology, pp. 7468-7474, (2021)
21. P. Velvizhy, A. Pravi, M. Selvi, S. Ganapathy, A. Kannan. Fuzzy-based review rating prediction in e-commerce, International Journal of Business Intelligence and Data Mining, (2021).
22. S.P. Perumal, G. Sannasi, K. Arputharaj. REFERS: refined and effective fuzzy e-commerce recommendation system, International Journal of Business Intelligence and Data Mining, pp. 21-29, (2021).
23. Balasubramanian Prabhu Kavin, Sannasi Ganapathy, EC(DH)2: an effective secured data storage mechanism for cloud based IoT appl, International Journal of Internet Technology and Secured Transactions, pp. 601-617, (2021)
24. Raamakirtinan S., Jenila Livingston L.M. Identifying Influential Spreaders In Complex Networks By Weighted Vote, Journal of Theoretical and Applied Information Technology, pp. 1642-1661, (2021)
25. L.R. Priya, R. Vedhapriyavadhana, G. Ignisha Rajathi, J. AllwynKingsly Gladston, R. Johny Elton. An IOT Integrated Fire Monitoring And Detection System Using Raspberry PI, Turkish Journal of Physiotherapy and Rehabilitation, pp.1772-1778, (2021)
26. A. Muralidhar, Pattabiraman V., HUPM-MUO: High utility pattern mining under multiple utility objectives, International Journal of Computer Aided Engineering and Technology, pp.385-407, (2021).
27. V. Sakthivel. Deep Learning Approach to Automated Data Collection and Processing of Video Survillance, Journal of Multiple-Valued Logic and Soft Computing, pp.61-82, (2021).
28. Pattabiraman Ventakasubbu, Parvathi Ramasubramanian, Deep Learning-based Brain Tumour Segmentation, IETE Journal of Research, (2021).
29. Shrey Srivastava, Amit Vishvas Divekar, Chandu Anilkumar, Ishika Naik, Ved Kulkarni and V. Pattabiraman. Comparative analysis of deep learning image detection algorithms, Journal of Bigdata, (2021).
30. A. Muralidhar; Pattabiraman Venkatasubbu. HUPM-MUO: high utility pattern mining under multiple utility objectives, International Journal of Computer Aided Engineering and Technology, pp. 385-407, (2021).
31. Piyush Kapoor, Hema N. Sign Language and Common Gesture Using CNN, International Journal of Advanced Trends in Computer Science and Engineering, pp.1959-1965, (2021).
32. Bhavana, Parvathi R. Sign Language and Common Gesture Using CNN, International Journal of Advanced Trends in Computer Science and Engineering, (2021).
33. Vergin R.S., Anbarasi L.J., Rukmani P., Sruti V., Ram G., Shaumaya O., Nithesh Gurudaas. AI-based COVID-19 Airport Preventive Measures (AI-CAPM) International Journal of Current Research and Review, pp.115-122, (2021)
34. Vergin R.S.M., Anbarasi J.L., Graceline J.S., Valarmathi M.L., Mayank V., Yash D., Upender S. AI-based Pandemic Trend Analysis, International Journal of Current Research and Review, pp.131-139, (2021).
35. Kiruthika S., Umamaheswari E., Karmel A., Kanchana Devi V. Cluster Analysis For OLAP In Online Decision Support Systems, Turkish Journal of Physiotherapy and Rehabilitation,pp. 5839 – 5843,(2021).
36. Rahul Nair, Bhuvaneswari Anbalagan. A Graph based Cloned Profile Detection in Online Social Networks, International Journal of Scientific and Research Publications, pp.656-657, (2021).
37. Jayanthi R., Bhuvaneswari A. Internet of Things Enabled Smart Village Implementation Model for Sustainable Ru, European Journal of Molecular & Clinical Medicine, pp.1374-1387, (2021).
38. R. Rohith and S.P. Syed Ibrahim, Screening of chest X-Rays for Tuberculosis using Deep Convolutional Neural Networks, International Journal of Recent Technology and Engineering (IJRTE), pp. 254-258, (2021).
39. Preeti Tamrakar, S.P. Syed Ibrahim, Lazy Learning Associative Classification with WkNN and DWkNN Algorithm, ITM Web of Conferences, (2021).
40. Dhanashri Narayan Wategaonkar and S.V Nagaraj. Analysis of QoS Parameters using Prediction Algorithms on CSO-based Energy-Efficient, Journal of Physics: Conference Series, (2021).
41. Pradeep Krishnadoss, Gobalakrishnan Natesan, Javid Ali, Manikandan Nanjappan, Parkavi Krishnamoorthy, Vijayakumar Kedalu Poornachary. CCSA: Hybrid Cuckoo Crow Search Algorithm for Task Scheduling in Cloud Computing, International Journal of Intelligent Engineering and Systems, pp. 241-250, (2021).
42. Vasudevan, S., Chauhan N., Sarobin V. and Geetha S. Image-Based Recommendation Engine Using VGG Model, Advances in Communication and Computational Technology, (2021).
43. Rukmani P., Vergin Raja Sarobin M., Graceline Jasmine S., L. Jani Anbarasi, Priya Mishra. Usage of Artificial Intelligence to Prevent and Regulate COVID-19. Int J Cur Res Rev. Vol 13 Issue 06, March, 2021, 64-67.
44. Vergin R., Anbarasi L., Rukmani P., Sruti V., Ram G., Shaumaya O., Nithesh G. AI-based COVID-19 Airport Preventive Measures (AI-CAPM), Int J Cur Res Rev, 2nd Wave of COVID-19: Role of Social Awareness, Health and Technology Sector, June, 2021, 115-122
45. Vergin R., Anbarasi J., Graceline J., Valarmathi M., Mayank V., Yash D., Upender S. AI-based Pandemic Trend Analysis, Int J Cur Res Rev, 2nd Wave of COVID-19: Role of Social Awareness, Health and Technology Sector, June, 2021, 131-139
46. Srivastava S., Sarobin M.V.R., Anbarasi J. and Sankaran N. Text Sentiment Analysis Using Artificial Intelligence Techniques, Advances in Computing and Network Communications
47. Rukmani P. S. Graceline Jasmine, Vergin Raja Sarobin, Sathiya Narayanan, Modigari Narendra, Dhanya D. Benson Edwin Raj, Dynamic Analysis of Twitter and Facebook Through Social Network Analysis, International Journal of Education and Learning Systems, pp. 491-502, 2021.
48. Rukmani P, S. Graceline Jasmine, Vergin Raja Sarobin, Sathiya Narayanan, Modigari Narendra, Dhanya D., Benson Edwin Raj,. (2021) Dynamic Analysis of Twitter and Facebook Through Social Network Analysis. International Journal of Education and Learning Systems, 6, 1-7,2021.
49. J. Prassanna and V. Neelanarayanan, Enhanced Load Balancing Approach for Cloud Data Center Load Optimization, Journal of Computational and Theoretical Nanoscience,pp.1270-1274,(2021).
50. S. Swathi Chandana, Vergin Raja Sarobin M., Jani Anbarasi L., Rukmani P., Graceline Jasmine, EARLY LEAF DISEASE DETECTION BASED ON DEEP LEARNING ALGORITHM, JOURNAL OF OPTICAL COMMUNICATION ELECTRONICS,(2021).
51. Prassanna J, Mohanty S, Jinturkar PS, Pandey P, Analysis of Kubernetes for Distributed Healthcare System Development using COVID, International Journal of Current Research and Review,pp.96-102,(2021).
52. Malathy Jawahar, Anbarasi LJ, Prassanna J, Jackson CJ, Manikandan R, Alzubi JA, Diagnosis of COVID-19 using Optimized PCA based Local Binary Pattern Features, International Journal of Current Research and Review,pp.37-41,(2021).
53. Sivagami M., Radha P. and Balasundaram A, Sequence Model based Cloudburst Prediction for the Indian State of Uttarakhand, Disaster Advances,(2021).
54. P Praveen Kumar1 and V Kanchana Devi*2, Efficient load balancing by optimized flexi max-min algorithm, Journal of Physics: Conference Series,(2021).
55. Gurucharan Singh Saluja, N. Maheswari *, T. S Pradeep Kumar, M. Sivagami, AI based intelligent travel chatbot for content oriented user queries, International Journal of Applied Science and Engineering,(2021).
56. Aravind M, Srinath KR, Maheswari N, Sivagami M, Predicting COVID-19 Cases in Indian States using Random Forest Regression, International Journal of Current Research and Review,(2021).
57. M. Sarvesh, M. Sivagami and N. Maheswari, Removal of Noise in an Image using Boundary Detection Technique, Journal of Physics: Conference Series,(2021)
58. Nikita Arora, Ramesh Ragala, Mood Based Music Recommendation System, Annals of the Romanian Society for Cell Biology,(2021).
59. Abdul Quadir Md, J. Prassanna, J. Christy Jackson, G. Anusooya, M. Premalatha, K. Sathyarajasekaran, H. Sabireen.,REVIEW ON DNS AMPLIFICATION ATTACKS TOWARDS BUILDING AN EFFICIENT PREVENTION STR,(2021)
60. Karmel A, Umamaheswari E, Kanchana Devi V, Kanimozhi G, David Maxim Gururaj A, Subhashini R, Transmission range based optimal backbone path for energy consumption in manet, Indian Journal of Computer Science and Engineering (IJCSE),(2021).
61. KUMAR, S. L. ., SAROBIN M, V. R. ., & ANBARASI L, J., Predictive Analytics of COVID-19 Pandemic: Statistical Modelling Perspective, Walailak Journal of Science and Technology (WJST),(2021).
62. Jawahar, Malathy, et al. “Utilization of Transfer Learning Model in Detecting COVID-19 Cases From Chest X-Ray Images.” International Journal of E-Health and Medical Communications (IJEHMC) 13.2 (2021): 1-11.
63. Punitha.K, V. Kumaresan, S. Ragupathy, B.Priestly Shan, T.Gunasekaran, A biometric based medical information system for the identification of comorbidi, Proceedings of the 4th National Conference on Current and Emerging Process Technologies e-CONCEPT-2021
64. Vignesh Balaji S, Vergin Raja Sarobin M, L. Jani Anbarasi, An Extensive Survey on Applications of Advanced Deep Learning Algorithms on Detection, International Journal of Current Research and Review,(2021).
65. Dharani.R., Parvathi R., Enhanced classification of crisis related tweets using deep learning models, International Journal of Web Engineering and Technology,(2021).
66. A. Vijayalakshmi, B. Rajesh Kanna, C. Vijayalakshmi, Extrinsic parameter\’s adjustment and potential implications in Plasmodium falcip, Microscopy Research & Technique,(2021)
67. R. Srinivasa Raghav , Kalaipriyan Thirugnanasambandam , Vijayakumar Varadarajan , Subramaniyaswamy Vairavasundaram , and Logesh Ravi, “Artificial Bee Colony Reinforced Extended Kalman Filter Localization Algorithm”, BigData, 2021,(2.128)
68. Shreyas Madhav, A.V., Rajaraman, R., Harini, S., Kiliroor, C.C., Application of artificial intelligence to enhance collection of E-waste: A potential solution for household WEEE collection and segregation in India, Waste Management and Research, 2021 ,(3.549) (2021).
69. Narendra, M., Valarmathi, M.L. & Anbarasi, L.J. Watermarking techniques for three-dimensional (3D) mesh models: a survey. Multimedia Systems (2021).
70. Sujithra Alias Kanmani R., Surendiran B., Ibrahim S.P.S., Recency augmented hybrid collaborative movie recommendation system,(2021).
71. Prabhu S.S., Vishal Kumar A., Murugesan R., Saha J., Dasgupta I., Adoption of precision agriculture by detecting and spraying herbicide using UAV, Adoption of precision agriculture by detecting and spraying herbicide using UAV, (2021).
72. Gothawal D.B., Nagaraj S.V. An intelligent and lightweight intrusion detection mechanism for RPL routing attacks by applying automata model, Information Security Journal, (2021).
73. Kannan R.J., Yadav K.P. Drone Routing Techniques for Surveying in Urban Areas, Review of International Geographical Education Online,2021.
74. Fernandez J.J., Nithyanandam P. Fingerprint core point detection using connected component approach and orientation map edge tracing approach, International Journal of Biometrics,(2021)
75. Balusa B.C., Gorai A.K., Hierarchical fuzzy-AHP-based multicriteria decision making approach for selection of underground metal mining method, Intelligent Decision Technologies, 2021
76. Ramachandran D., Parvathi R. Enhanced classification of crisis related tweets using deep learning models and word embeddings, International Journal of Web Engineering and Technology, 2021
77. Sajidha S.A., Agarwal U., Pruthviraj R.P., Agarwal S., Nisha V.M., Tyagi A.K, A simple, effective distance and density based outlier detection algorithm, Indonesian Journal of Electrical Engineering and Computer Science, (2021).
78. Alluru K., Jeganathan L., Code Optimizations for Parallelization of Programs using Data Dependence Identifier, International Journal of Advanced Computer Science and Applications, (2021).
79. Chandiramani K.D., Maheswari N., Sivagami M., Insights of gender based tourists preferences by constructing travel diary using social media data, Geojournal of Tourism and Geosites, (2021).
80. Karthika P., Karmel A., Analysis of Different Attacks on Software Defined Network and Approaches to Mitigate using Intelligent Techniques, International Journal of Advanced Computer Science and Applications (2021).
81. Krishnadoss P., Natesan G., Ali J., Nanjappan M., Krishnamoorthy P., Poornachary V.K. CCSA: Hybrid Cuckoo Crow Search Algorithm for Task Scheduling in Cloud Computing, International Journal of Intelligent Engineering and Systems (2021).

Year 2020

1. Prakash, B., & Viswanathan, V. (2020). A comparative study of meta-heuristic optimisation techniques for prioritisation of risks in agile software development. International Journal of Computer Applications in Technology (IJCAT), 62(2), 175-188.
2. Pradeep, K.V., Anusha, K., & Nachiyappan, S. (2020, March). Performance and computation time enhancement of various machine learning techniques for NSL-KDD dataset. International Journal of Recent Technology and Engineering (IJRTE), 8(6), 4726- 4730.
3. Nachiyappan,S., Pradeep, K.V., & Anusha, K. (2020, March). Blur detection and classification using Dnn. International Journal of Recent Technology and Engineering (IJRTE), 8(6), 4777-4780.
4. 189. Rao, B.P., Kumar, K.S., Singh, R.K., & Sundeep, P. (2020, February). Intelligent system for smart cultivation – to integrate technology in rural economic development. International Journal of Engineering and Advanced Technology(IJEAT), 9(3), 511 – 517.
5. Rao, B.P., (2020). AI based e-healthcare in rural areas. International Journal of Innovative Technology and Exploring Engineering (IJITE), 9(3), 3098-3104.
6. Rahman, A.A., & Selwyn, J. (2020, March). A study on applicability of product quality models in software engineering literature and defining quality dimensions for knowledge management systems. International Journal of Scientific and Technology Research (IJSTR), 9(3), 195-202.
7. Rahman, A.A., & Selwyn, J. (2020, February). A novel approach to design quality model for knowledge management systems. International Journal of Scientific and Technology Research(IJSTR), 9(2), 2020.
8. Bharathiraja,S., Suganya, G., Premalatha, M., Kumar, R., & Ramanathan, S. (2020, March). An efficient methodology to sort large volume of data. International Journal of Scientific and Technology Research (IJSTR), 9(3), 5828-5832.
9. Jain, S., & Shyamala, L. (2020, February). A review on suitable execution environment for executing parallel workloads with mapreduce and spark. International Journal of Scientific and Technology Research(IJSTR), 9(2), 5595-5599.
10. Daniel, D.C., & Shyamala, L. (2020, March). Hybrid CNN classification for sentiment analysis under deep learning. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9(5), 1473-1480.
11. PS, M. G., & Chintala, B. R. (2020). Big data challenges and opportunities in agriculture. International Journal of Agricultural and Environmental Information Systems (IJAEIS), 11(1), 48-66.
12. Prassanna, J., Quadir, M.A., Jackson,J.C., Prabakaran, R., & Ramanathan, S. (2020, March). Secrecy protector: a novel data analytics based credit score management system. International Journal of Scientific and Technology Research (IJSTR), 9(3),1215-1218.
13. Prassanna, J., Nawas, K., Jackson, J.C., Prabakaran, R., & Ramanathan, S. (2020, March). Towards building a neural conversation CHATBOT through seq2seq model. International Journal of Scientific and Technology Research (IJSTR), 9(3), 1219-1222.
14. Gayathri, R., & Neelanarayanan, V. (2020). Denial of service attack prediction using gradient descent algorithm. Advances in Internet Research and Engineering(AIRE), 1(45), 1-8.
15. Verma, S.K., Rajesh, M., & Vincent, R. (2020). Smart-farming using internet of things. Journal of Computational and Theoretical Nanoscience(JCTN), 17(1
),172-176.
16. Vincent, R., Sanjaykumar, K., Rajesh, M., & Verma, S. K. (2020). Agricart: an innovative methodology for enhancing farmers livelihood. Journal of Computational and Theoretical Nanoscience (JCTN), 17(1), 373-377.
17. Perumal, S., Ganapathy, S., & Kannan, A. (2020). REFERS: refined and effective fuzzy e-commerce recommendation system. International Journal of Business Intelligence and Data Mining (IJBIDM), 17(1), 117-137.
18. Kapadia, A. M., & Pandian, N. (2020). Reversible data hiding methods in integer wavelet transform. International Journal of Information and Computer Security (IJICS), 12(1), 70-89.
19. Pramod, S., & Jayasudha, M. (2020). Multi-root symmetrical encryption preservation sequence scheme in EHR using cloud. Journal of Discrete Mathematical Science and Cryptography (JDMSC), 22(7), 70-87.
20. Devi, B. G., & Pattabiraman, V. (2020). Soft cosine gradient and gaussian mixture joint probability recommender system for online social networks. International Journal of Intelligent Engineering and Systems (IJIES), 13(1), 301-311.
21. Sudhakara, M., & Meena, M.J. (2020, April). An edge detection mechanism using L*A*B color-based contrast enhancement for underwater images. Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), 18(1), no. 41-48.
22. Balasundaram, A. (2020). Computer vision based detection of partially occluded faces, International Journal of Engineering & Advanced Technology (IJEAT), 9(3), 2188-2200.

23. Anjum, Shaik Shabana; Noor, Rafidah Md; Ahmedy, Ismail; Anisi, Mohammad Hossein; Azzuhri, Saaidal Razalli; Kiah, Miss Laiha Mat; Lloret, Jaime; Kumar, Pradeep, An Optimal Management Modelling of Energy Harvesting and Transfer for IoT-based RF-enabled Sensor Networks, Vol 46, Issue 1-2, pp 83-112.

24. Alamelu M, Pradeep Kumar TS, Vijayakumar V, Fuzzy Rule based SLA Generation Algorithms for Web Based Multi Party Negotiation Systems, Journal of Intelligent and Fuzzy Systems (accepted), 2020.

Year 2019

1. Lakshmi, V. A., Meena, M. J., & Ibrahim, S. S. (2019). Big data analytics framework to analyse student’s performance. International Journal of Computational Complexity and Intelligent Algorithms (IJCCIA), 1(2), 154-164.
2. Sudhakara, M., & Meena, M.J. (2019, May). Underwater image enhancement using conventional techniques with quality metrics. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(7S), 241-249.
3. Bansal, A., Gupta, C. L., & Muralidhar, A. (2019, June). A sentimental analysis for youtube data using supervised learning approach. International Journal of Engineering and Advanced Technology (IJEAT), 8(5), 2314-2318.
4. Muralidhar, A., & Pattabiraman, V. (2019). Enhancing the performance of large-scale profitable itemset mining using efficient data structures. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(9), 1768 -1772.
5. Aarthi, D., Viswanathan, V., Nandhini, B., Ilakiyaselvan, N. (2019, November). Question classification using a rule based model. International Journal of Innovative Technology and Exploring Engineering (IJITEE),9(1), 4172-4176.
6. Premalatha, M., & Viswanathan, V. (2019). Course sequence recommendation with course difficulty index using subset sum approximation algorithms. Cybernetics and Information Technologies (CIT), 19(3), 25-44.
7. Prakash, B., & Viswanathan, V. (2019). Risk prioritization for software development using grey wolf optimization. International Journal of Recent Technology and Engineering, 7(6), 1457-1463.
8. Aarthi D., & Viswanathan, V. (2019, March). Disambiguation of named entity with supervised technique over a knowledge base. International Journal of Recent Technology and Engineering (IJTRE),7(6),1386-1391.
9. Premalatha, M., & Viswanathan, V. (2019). Reducing the duration of Higher education study with sequenced course recommendation using categorical subset summation algorithm. International Journal of Recent Technology and Engineering (IJRTE), 7(-5S4), 751-754.
10. Sathyarajasekaran, K., & Ganesan R. (2019, May). An approach on software Readiness Workflow with Change Impact Analysis (SRW-CIA). International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(7), 284-288.
11. Sathyarajasekaran K., & Ganesan R, (2019). A novel process using impact analysis over requirement phase with impact transition model. Test Engineering and Management(TEM), 81, 4435-4445.
12. Nachiyappan, S., & Selwyn, J. (2019). A big data framework for quality assurance and validation. International Journal of Recent Technology and Engineering (IJRTE), 8(2), 2490-2494 .
13. Nachiyappan, S., & Selwyn, J. (2019), Automated testing for big data environment using multi model structure validation. International Journal of Engineering and Advanced Technology (IJEAT), 8(5), 1304-1309 .
14. Kumar, B,S., & Sountharrajan, S. (2019). Big data projects requirement understandability using big data use case diagram approach. International Journal of Computational and Theoretical Nanoscience (IJCTN), 16, 1–6.
15. Shankar, V.S., Sajidha,S.A., Nisha,V.M., & Kumar., B.S. (2019, December). Performance testing in a multi-tenant cloud architecture using genetic algorithm. International Journal of Engineering and Advanced Technology (IJEAT), 9(2), 2840-2846.
16. Rajarajeswari, S., & Neelanarayanan, V. (2019, July). Detecting and resolving conflicts in adaptation rules for the context aware system. International Journal of Recent Technology and Engineering (IJRTE), 8(2), 760-763.
17. Bansal, A., Saleena, B., &Prakash. B. (2019). Using data mining techniques to analyze the customers reaction towards social media advertisements. International Journal of Recent Technology and Engineering (IJRTE), 8(2), 1139 – 1143.
18. Nagelli, A., Ragala, R., & Saleena, B. (2019). Automotive rank based ELM using iterative decomposition. International Journal of Intelligent Engineering and Systems (IJIES), 12(5), 287-298.
19. Suganya, G., Premalatha, M., & Anushka Sharma, M. P. (2019). IoT based automated medicine dispenser for online health community using cloud. International Journal of Recent Technology and Engineering (IJRTE), 7(5S4), 759-762.
20. Ajay, D. M., & Umamaheswari, E. (2019). Packet encryption for securing real-time Mobile cloud applications. Mobile Networks and Applications (MNA), 24(4), 1249-1254.
21. Amrith, P., Umamaheswari, E., Anitha, R. U., Mani, D., & Ajay, D. M. (2019, January). Smart detection of vehicle accidents using object identification sensors with artificial intelligent systems. International Journal of Recent Technology and Engineering(IJRTE), 7(5), 375-379.
22. Maheswari, S., & Selwyn, J. (2019). State behavior analysis in validating the web service framework. International Journal of Computers and Applications (IJCA), 1-11.
23. Maheswari, S., & Selwyn, J. (2019). Machine learning algorithms for understanding web user access based on query. Journal of Advanced Research in Dynamical and Control Systems (JARDCS), 11(08), 636-647.
24. Jeyasingh, J., & Selwyn, J. (2019, December). Validating the knowledge acquisition process metrics in content management systems. International Journal of Engineering and Advanced Technology (IJEAT), 9(1S3), 257-262.
25. Rachel. K.P., & Selwyn, J. (2019, December). a knowledge representation model using concept-relation graph. International Journal of Engineering and Advanced Technology (IJEAT), 9(1S3), 170-175.
26. Krishnapriya, M.A., & Selwyn, J. (2019, October). Synthetization of solution knowledge base. The International Journal of Analytical and Experimental Modal Analysis (IJAEMA), 11(10), 403-409.
27. Priya, M. K., & Selwyn, J. (2019, September). Code knowledge acquisition for knowledge management trajectory framework. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 1830-1834.
28. Rahaman, A., & Selwyn, J. (2019, July). A conceptual model for effectiveness of knowledge management systems. International Journal of Recent Trends and Engineering (IJRTE), 8(2), 4195-4199.
29. Ramachandran, D., & Parvathi, R. (2019). Enhanced event detection in twitter through feature analysis. International Journal of Information Technology and Web Engineering (IJITWE), 14(3), 1-15.
30. Parvathi, R., & Aravind, J. (2019, September). Classification based credibility analysis on twitter data. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 5371-5376.
31. Vinodha, R., & Parvathi, R. (2019, July). Election result prediction using spatial statistical method. International Journal of Recent Technology and Engineering (IJRTE), 8(2S6), 838-843.
32. Monica, K.M., & Parvathi, R. (2019, September). Traditional dimensionality reduction techniques using deep learning. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 7153-7160.
33. Dutta S., Parvathi R., & Ganesan R. (2019, October). Threat identification and examination using graph based anomaly detection. International Journal of Engineering and Advanced Technology (IJEAT),9(1), 7510-7513.
34. Vinodha, R., & Parvathi, R. (2019, December). Location based point-of-interest recommendation system using co-pear similarity measure. International Journal Of Scientific and Technology Research (IJSTR), 8(12), 3689-3696.
35. Aravind, J., & Parvathi, R. (2019, July). A personalized location recommendation system based on probability and proximity. International Journal of Recent Technology and Engineering (IJRTE),8(2), 714-718.
36. Ramachandran, D., & Parvathi, R. (2019). Analysis of twitter specific preprocessing technique for tweets. Procedia Computer Science, 165, 245-251.
37. Kamatchi, S. B., & Parvathi, R. (2019). Improvement of crop production using recommender system by weather forecasts. Procedia Computer Science, 165, 724-732.
38. GayathriDevi, B., & Pattabiraman, V. (2019). Towards user profiling from multiple online social networks. Procedia Computer Science, 165, 456-461.
39. Pattabiraman, V., & Ganesh, M. (2019, December). Used cars price prediction using supervised learning techniques. International Journal of Engineering and Advanced Technology (IJEAT), 9(1S3), 216-223.
40. Muralidhar, A., Sathe, A.A.K., & Pattabiraman, V. (2019, July). Enhancing the performance of large-scale profitable itemset mining using efficient data structure. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8 (9), 1768-1772.
41. Akram, W., Jain, M., & Hemalatha, C. S. (2019). Design of a smart safety device for women using IoT. Procedia Computer Science, 165, 656-662.
42. C SweetlinHemalatha, Pathak, R., &Vaidehi, V. (2019). Hybrid decision trees for data streams based on incremental flexible naive bayes prediction at leaf nodes. Evolutionary Intelligence,12(4)515-526.
43. Suganeshwari, G., & Ibrahim, S.S (2019, December). A movie recommendation using common genre relation on user-item subgroup. International Journal of Engineering and Advanced Technology (IJEAT), 9(1S3), 193-199.
44. Shende, N. N., & SyedIbrahim, S. P. (2019). Layout detection using computer vision. International Journal of Computational Complexity and Intelligent Algorithms (IJCCIA), 1(2), 165-177.
45. Suganeshwari, G., & Ibrahim, S.S, (2019, October). Time adaptive collaborative filtering for movie recommendation. Pertanika Journal of Science & Technology, 27(4), 1783-1802.
46. Vijayakumar, S., & Ibrahim, S.S. (2019, July). Mining learners’ data to perceive the need for german for academic purposes. International Journal of Recent Technology and Engineering, 8(2), 5491-5494.
47. Tamrakar, P., & Ibrahim, S. S. (2019). Comparative study of different lazy learning associative classification methods. Procedia Computer Science, 165, 370-376.
48. Kalamohan, K., Gunasekaran, P., & Ibrahim, S. (2019). r. Meta Gene, 21, 100576.
49. Tamrakar, P., & Ibrahim, S. S. (2019, May). Lazy learning associative classification with hybrid feature selection. International Journal of Recent Technology and Engineering, 8(1), 299-303.
50. Pandey, A., Sharma, A., & Ibrahim, S. S. (2019, May). Clinical image analysis for detection of skin cancer using convolution neural networks. Theranostics of Respiratory and Skin Diseases (TRSD),1(3), 61-64.
51. Anand, L., & Ibrahim, S. S. (2018). HANN: a hybrid model for liver syndrome classification by feature assortment optimization. Journal of medical systems, 42(11), 211.
52. Singh, R.K. & Sivabalakrishnan, M. (2019, August). Classification of gene expression data using efficient feature selection technique and resampling method. International Journal of Engineering and Advanced Technology (IJEAT), 8(6), 406-414.
53. Singh, R.K. & Sivabalakrishnan, M. (2019, August). Microarray gene expression data classification using a hybrid algorithm: MRMRAGA. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(10), 706-713.
54. Subramanian, C.B., Hemalatha, J., Balakannan, S.P & Geetha, S. (2019, December). Improving image steganalyser performance using second order spam features extracting through contourlet transform. International Journal of Engineering and Advanced Technology (IJEAT), 9(IS4), 137-143.
55. Punithavathi, P., & Geetha, S. (2019, December). Cancelable biometric transformations for e-passport security. International Journal of Engineering and Advanced Technology (IJEAT), 9(1S3), 342-346.
56. Geetha, R., & Geetha, S. (2019, December). Multi-layered ‘odd-even’ reversible embedding for encrypted images. International Journal of Engineering and Advanced Technology (IJEAT), 9(1S3), 347-351.
57. Roseline, S.A., & Geetha, S. (2019, December). An efficient malware detection system using hybrid feature selection methods. International Journal of Engineering and Advanced Technology (IJEAT), 9(1S3), 224-228.
58. Gopal, R., Phamila, Y.A.V & Geetha, S. (2019, June). A hand geometry verification system relating finger length, position of the finger base and palm center. International Journal of Engineering and Advanced Technology (IJEAT), 8(5), 1974 – 1979.
59. P Balamurugan, S. A. A., Chitra, P. K. A., & Geetha, S. (2019). Multi label learning approaches for multi species avifaunal occurrence modelling: a case study of south eastern Tamil Nadu. International Journal of Business Intelligence and Data Mining, 15(4), 449-477.
60. Hemalatha, J., Devi, M. K., & Geetha, S. (2019). Enhancing the JPEG image steganography security by RSA and attaining high payload using advanced DCT replacement method and modified quantisation table. International Journal of Business Intelligence and Data Mining, 14(1-2), 138-154.
61. Sandhya, P., & Kantesaria, M. (2019, April). Prediction of mental disorder for employees in IT industry. International Journal of Innovative Technology and Exploring Engineering(IJITEE),8(6S), 374-376.
62. Venugopal Boppana, S. P. (2019). Focused crawling from the basic approach to context aware notification architecture. Indonesian Journal of Electrical Engineering and Computer Science, 13(2), 492-498.
63. Wagdarikar, R.R & Sandhya, P. (2019, December). Parallelism in web services: design of parallel XML parser for web services. Indonesian Journal of Electrical Engineering and Computer Science, 16(3),1407-1415.
64. Nivedita, M., Phamila, Y.A.V., & Harsh, P.V. (2019, June). Captioning for motion detection for video surveillance applications using deep learning. International Journal of Innovative Technology and Exploring Engineering (IJITEE) , 8(8),3180-3185.
65. Nivedita, M., & Phamila, Y.A.V. (2019, October). Image captioning for affine transformed images using image hashing. International Journal of Engineering and Advanced Technology (IJEAT), 9(1), 4736-4741.
66. Kalaivani,K., Phamila, Y.A.V., Selvaperumal, S.K. (2019, October). Random forest classifier for extracting water bodies from pansharpened image to detect surface water changes. International Journal of Engineering and Advanced Technology (IJEAT), 9(1), 4910-4915.
67. Arshad, Anbarasi, L. J., & Narendra, M., Pushbarani, S., & Dhanya. (2019). Investigating the effect of social media campaign on german 2017 elections. International Journal of Recent Technology and Engineering (IJEAT),5, 2123-212.
68. Murali, S., Narayanan, S., & Prasanna, D., Anbarasi, L.J. (2019). Backtracking based joint-sparse signal recovery for distributed compressive sense. International Journal of Innovative Technology and Exploring Engineering (IJITEE) ,12(1), 3919-3922.
69. Surianarayanan, B., Pandian A,S., & Narayanan, S., Anbarasi, L.J. , & Raj, B.E. (2019). Estimation of percentage of adulteration using structural similarity index .International Journal of Innovative Technology and Exploring Engineering, 5(12), 2129-2132.
70. Singh, S., & Jasmine, S. G. (2019). Face recognition system. International Journal of Engineering Research & Technology (IJERT), 8(5), 263-266.
71. Dudeja, K., Baidya, S., & Gupta, S. S., & Jasmine, S.G. Low-cost 3DOF virtual reality first aid training programs. International Journal of Engineering and Advanced Technology (IJEAT), 8(5), 693-696.
72. Shukla, U., Mishra, A., Jasmine, S. G., Vaidehi, V., & Ganesan, S. (2019). A deep neural network framework for road side analysis and lane detection. Procedia Computer Science, 165, 252-258.
73. Singh, R.K., & Sivabalakrishnan, M. (2019, August). Classification of microarray gene expression data using a hybrid approach of mRMR and AGA. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(10), 706-713.
74. Jeeva, S., & Sivabalakrishnan,M. (2019, September). Utilising P300 via non-invasive brain computer interface to control wheelchair. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(11), 3329-3333.
75. Naidu, C., Kumar, D., Maheswari, N., Sivagami, M., &Li, G. (2019, April). Prediction of alzheimer’s disease using oasis dataset. International Journal of Recent Technology and Engineering (IJRTE), 7(6S3), 36-42.
76. Ravi. R., Sowmiyasree, Maheswari, N., & Sivagami,M. (2019, October). Improving the performance of hadoop framework using optimization process in the information management. Advances in Science, Technology and Engineering Systems Journal (ASTESJ), 4(5),327-333.
77. M Sivagami, M., Revathi, T., & Jeganathan, L. (2019). Dynamic background modelling using multi-swarm optimisation. International Journal of Bioinformatics Research and Applications, 15(1), 68-90.
78. Giri, B., Sivagami, M., & Maheswari, N. (2019, April). Frequent item set mining for data streaming using spark with pincer search algorithm. International Journal of Recent Technology and Engineering, 7(6), 40-45.
79. Bhavana, V., Ramesh, V., & Sivagami, M. (2019, June). Implementing discrete cuckoo search algorithm for TSP using MPI and beowulf cluster. International Journal of Innovative Technology and Exploring Engineering (IJITEE),8(8),554-560,
80. Karande, S., Shelake, A., Sivagami, M., & Sophia, S. (2019, May). Prediction of employee retention using cassandra and ensemble learning. International Journal of Recent Technology and Engineering, Volume-8, Issue-1,Page No: 508-512, May’2019,Scopus
81. Aiswarya, B., Sharma, A., Chakraborty, R., Malathi, G., Kumar, T.R. (2019, March). Image processing based edibility analysis of spinach leaves using machine learning approach. International Journal of Recent Technology and Engineering (IJRTE), 7(6), 2097-2101.
82. Diviya, M., Malathi, G., & Karmel, A. (2019, November). Regression based model for prediction of heart disease recumbent. International Journal of Recent Technology and Engineering (IJRTE), 8(4), 6639-6642.
83. Murugesan, R., Sudarsanam, S.K., Malathi, G.,Vijayakumar, V., Neelanarayanan, V., Venugopal, R., Rekha, D., Saha, S., Bajaj, R., Miral, A., & Malolan, V. (2019, July). Artificial intelligence and agriculture 5. 0, International Journal of Recent Technology and Engineering(IJRTE), 8(2), 1870-1877.
84. Jackson, J.C., Rekha, D., Vijayakumar, V., & Prasath, V. B. S. (2019). Broadcast scheduling problem in VANETS: a discrete genetic algorithm approach. International Journal of Recent Technology and Engineering(IJRTE), 7 (6s), 360-366.
85. Jackson, J.C., & Singh, A. (2019). Fire alert system using real-time video processing. International Journal of Innovative Technology and Exploring Engineering(IJITE) , 8(7), 1008-1010.
86. Devi, V.K., & Ganesan, R. (2019). Trust-based selfish node detection mechanism using beta distribution in wireless sensor network. Journal of ICT Research and Applications, 13(1), 79-92.
87. Gayathri, R., & Neelanarayanan, V. (2019, August). Moving target defense strategy for mitigating distributed denial of service attack in the public cloud environment. International Journal of Engineering and Advanced Technology, 8(6), 1112-1115.
88. Gayathri, R., & Neelanarayanan, V. (2019). Identification of regression function and distribution model for denial of service attack in Second Life online community using simple network management protocol. International Journal of Web Based Communities, 15(3), 225-237.
89. Sri Vidya, B., Sriraman, H., & Rukmani, P. (2019). Optimized multi-threading to balance energy and performance efficiency. International Journal of Recent Technology and Engineering, 7(6), 599-60.
90. Rai, A., Vishwkarma, R., & Panjanathan, R. (2019). Automatic plant irrigation system with real time notification. International Journal of Recent Technology and Engineering, 8(1), 1428-1430.
91. Rani. S.U., & Neelanarayanan V. (2019). Control of anesthesia concentration using PID controller. International Journal of Innovative Technology and Exploring Engineering, 8(6), 356-360.
92. Rani. S.U., & Neelanarayanan V. (2019). BIS performance for CLAD PK-PD model. International Journal of Engineering and Advanced Technology (IJEAT), 8(5), 837-843.
93. Kumar, K.A., Vengatesan., Vincent, R., Rajesh, M., & Singhal, A. (2019). “A novel arp approach for cloud resource management. International Journal of Recent Technology and Engineering (IJRTE), 7(5), 260-262.
94. Venkatraj, S., Vincent, R., Vijayakumar, V., Vengatesan, K., & Rajesh, M. (2019). Development of test automation framework for REST API testing. Journal of Computational and Theoretical Nanoscience, 16(2), 453-457.
95. Vincent, R., & Vijayakumar, V. (2019). An enhanced virtual reality method for diagnosing autistic children. International Journal of Recent Technology and Engineering (IJRTE), 8(2), 3362-3365.
96. Preetha, A.D., & Kumar, T.S.P. (2019). Leveraging fog computing for a secure and smart healthcare, International Journal of Recent Technology and Engineering (IJRTE), 8(2), 6177–6182.
97. Quadir, M.A., & Vijayakumar, V. (2019). Combined preference ranking algorithm for comparing and initial ranking of cloud services, Recent Advances in Electrical and Electronic Engineering, 13(2), 260 – 275.
98. Md, A. Q., & Vijayakumar, V. (2019). Dynamic ranking of cloud services for web-based cloud communities: efficient algorithm for rating-based discovery and multi-level ranking of cloud services. International Journal of Web Based Communities, 15(3), 248-270.
99. Matthew, K. M., Muhammed, A. Q., & Varadarajan, V. (2019). An improved key management scheme in cloud storage. International Journal of Advanced Intelligence Paradigms, 14(3-4), 197-203.
100. Shubankar, B., Chowdhary, M., & Priyaadharshini, M. (20I9). IoT device for disabled people. Procedia Computer Science, 165, 189-195.
101. Murali, M., Bhargava, M., Snehaa, G., Anand, A., Haque, M.A., Sarobin. M. V.R. (2019). Data analytics on IoT-based health monitoring system. Journal of Recent Technology and Engineering (IJRTE), 8(1), 220-223.
102. Parthasarathy, E., Vaidyanathan, P., Akshay, N., Vimal, J., Manikandan, R., Prassanna, J., Kumar, A., & Daniel, W.C.S. (2019). Development of required power point tracking algorithm for standalone solar photovoltaic inverter. International Journal of Recent Technology and Engineering (IJRTE), 7(6), 1578-1582.
103. Manikandan, R., Parameshwaran, R., Prassanna, J., & Sekar, K.R. (2019). A study on specific computational algorithms for VLSI cell partitioning problems. International Journal on Emerging Technologies, 10(2), 67-70.
104. G. Manikandan, Krishnan, R.B., Preethivi, E., Sekar, K.R., Manikandan, R., & Prassanna, J. (2019). An Approach with steganography and scrambling mechanism for hiding image over images. International Journal on Emerging Technologies ,10(1), 64-67.
105. Sethuraman, J., Manikandan, R., Sekar, K.R., Prassanna, J., & Kumar, A. (2019). Classic search for dominant factors in web pages using search engines and validation through data analytics using R. International Journal on Emerging Technologies, 10(2), 117-121.
106. Rajarajeswari, S., & Neelanarayanan, V. (2019). Dynamic rule generation and rule matching for composite environmental condition in context aware system. Wireless Networks, 1-9.
107. Venkatesh, R., Ragala, R., & Kannan, R.J. (2019). Squeezing deep learning into mobile devices. International Journal of Recent Technology and Engineering(IJRTE), 7(6S), 902 – 906.
108. Jaya, R., Pillai, C.S., & Kannan, R.J. (2019). Hybrid fuzzified fish school search based learning method for prakriti analysis. Journal of Advanced Research in Dynamical and Control Systems, 11(2), 1777 – 1784.
109. Prabhakaran, R., & Asha, S. (2019, May). Enhancing cyber security in power sector systems using block chain. International Journal of Recent Technology and Engineering, 8(1), 58-62.
110. Prabhakaran, R., & Asha, S. (2019, July). Enhancing cyber security in power sector using machine learning. International Journal of Innovative Technology and Exploring Engineering, 8(9), 3382-3386.
111. Jayanthi, R., & Singh, K. J. (2019). A public key-based encryption and signature verification model for secured image transmission in network. International Journal of Internet Technology and Secured Transactions, 9(3), 299-312.
112. Jayanthi, R., & Singh, K. J. (2019). Image encryption techniques for data transmission in networks: a survey. International Journal of Advanced Intelligence Paradigms, 12(1-2), 178-191.
113. Sathyarajasekaran, K., & Ganesan, R. (2019). A novel process using impact analysis over requirement phase with impact transition model. Test Engineering and Management, 81(11-12), 4435-4445.
114. Sathyarajasekaran, K., & Ganesan, R. (2019). An approach on software readiness workflow with change impact analysis (SRW-CIA). International Journal of Innovative Technology and Exploring Engineering, 8(7), 284-288.
115. Devi, T., & Ganesan, R. (2019). Environmental benefits of enhanced hecc-elgamal cryptosystem for security in cloud data storage using soft computing techniques. Ekoloji, 28(107), 665-677.
116. Geetha, M., Ganesan, R., & Sai, T. (2019). Performance analysis of the machine learning algorithms on heart condition predictions. International Journal of Recent Technology and Engineering, 8(4), 975-981.
117. Dutta, S., Parvathi, R., & Ganesan, R., (2019). Threat identification and examination using graph based anomaly detection. International Journal of Engineering and Advanced Technology, 9(1), 7510-7513.
118. Jayasudha, M., & Subbulakshmi, T. (2019). an efficient attribute encryption for secure data sharing and storage in public and private clouds-a survey. International Journal of Recent Technology and Engineering,8(1C2), 1185-1189.
119. Jayasudha M, Subbulakshmi T. “A Comparative Study of Attribute based Encryption of Electronic Health Records in Cloud”, Journal of Advanced Research in Dynamical and Control Systems, Volume 11, 07-Special Issue, pp. 230-247, 2019.
120. Dhanapal, A., & Nithyanandam, P. (2019). The HTTP flooding attack detection to secure and safeguard online applications in the cloud. International Journal of Information System Modeling and Design (IJISMD), 10(3), 41-58.
121. Dhanapal, A., & Nithyanandam, P. (2019). A review of cloud computing adoption issues and challenges”, Recent Patents on Computer Science, 12, 1-6.
122. Dhanapal, A., & Nithyanandam, P. (2019). The slow HTTP DDoS attacks: detection, mitigation and prevention in the cloud environment. Scalable Computing: Practice and Experience, 20(4), 669-685.
123. Dhanapal, A., & Nithyanandam, P. (2019). The slow HTTP distributed denial of service attack detection in cloud. Scalable Computing: Practice and Experience, 20(2), 285-298.
124. Kapadia, A. M., & Nithyanandam, P. (2019). Secured reversible matrix embedding based on dual image using integer wavelet and arnold transform. Procedia Computer Science, 165, 766-773.
125. Karmel, A., Sharma, A., & Garg, D. (2019). IoT based assistive device for deaf, dumb and blind People. Procedia Computer Science, 165, 259-269.
126. Adhithiyan, M., & Karmel, A. (2019). Novel approach of deep learning in toxicity prediction. International Journal of Recent Technology and Engineering (IJRTE), 7(54), 698-704.
127. Jagtap, M. M., & Devi, S. R. (2019). Securing 5G het nets in SDN using authentication. International Journal of Innovative Technology and Exploring Enginering, 8(8), 1297-1303.
128. Monali, P., Mohite, S., & Devi, R. (2019). Design and implementation of ASCII based method for author attribution. International Journal of Innovative Technology and Exploring Enginering, 8(9), 1963-1967.
129. Venkatesh, A., & Asha, S. (2019, July). Detecting denial of service attack in wireless sensor network using energy Efficient Extreme Learning Neural Network (EEELNN). International Journal of Recent Technology and Engineering (IJRTE), 8(2), 5913-5918 .
130. Asha, S., & Angel, C. (2019). Creating a smart agricultural environment using ambient intelligent technique. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(10), 1010-1015.
131. Asha, S., & Sarojini, S. (2019). Botnet detection on the analysis of zeus panda financial botnet. International Journal of Engineering and Advanced Technology (IJEAT), 8(6),1972-1976.
132. Devi, B. K., Dudeja, K., John, A. V., Marcin, K., & Subbulakshmi, T. (2019). Symmetric measure of network traffic using packet ratio and packet symmetry. Procedia Computer Science, 165, 112-118.
133. Devi, B. K., & Subbulakshmi, T. (2019). “Adaptive Learning and Automatic Filtering of Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environment”, International Journal of Engineering and Advanced Technology, 9(1S3), 200-205.
134. Devi, B. K., & Subbulakshmi, T. (2019). Cloud-based DDoS attack detection and defence system using statistical approach. International Journal of Information and Computer Security, 11(4-5), 447-475.
135. Manjaly, J. S., & Subbulakshmi, T. (2019). TaskTracker aware scheduler with resource availability control for Hadoop MapReduce. International Journal of Advanced Intelligence Paradigms, 14(3-4), 359-374.
136. Sundararaman, S. A., & SubbuLakshmi, T. (2019). Execution of scientific workflows on IaaS cloud by PBRR algorithm. International Journal of Computational Science and Engineering, 19(4), 455-463.
137. Prabhakaran, R., & Asha, S. (2019, July). Analysis of cyber attacks vulnerabilities in electrical power systems. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(9), 925-928.
138. Nisha, V. M., & Jeganathan, L. (2019). A symmetry based anomaly detection in brain using cellular automata for computer aided diagnosis. Indonesian Journal of Electrical Engineering and Computer Science, 14(1), 471-477.
139. Patro, S.J. , & Nisha, V.M. (2019). Early detection of alzheimers disease using image processing. International Journal of Engineering Research and Technology, 8(5), 468-471.
140. Patro, S.J., & Nisha, V. M. (2019). Real time Video Analytics for object detection and face identification. International Journal of Engineering Research and Technology, 8(5), 462-467.
141. Lakshmi, D.V., & Jeganathan, L. (2019). Graph Self-Replication System. Complex systems, 28(3), 313-323.
142. Sivagami, M., Revathi, T., & Jeganathan, L. (2019). Dynamic background modelling using multi-swarm optimisation. International Journal of Bioinformatics Research and Applications, 15(1), 68-90.
143. Daniel, D. C., & Shyamala, L. (2019, August). An insight on sentiment analysis research from text using deep learning methods. International Journal of Innovative Technology and Exploring Engineering, 8(10), 2033-2048.
144. Vijayakumar, D.S., & Ganapathy, S. (2019). Feature reduction using lasso hybrid algorithm in wireless intrusion detection system. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(11), 1476-1483.
145. Kavin, B. P., & Ganapathy, S. (2019). A novel M-commerce data security mechanism using elliptic curve cryptography. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(10), 847-851.
146. Rajeswari, A.R., Kulothungan, K., Ganapathy, S., & Kannan, A. (2019). Trust aware SVM based IDS for mitigating the malicious nodes in MANET. International Journal of Innovative Technology and Exploring Engineering, 8(8), 185-197.
147. Prabha, A. J., Bhargavi, R., & Harish, B. (2019). Predictive model for dyslexia from eye fixation events. International Journal of Engineering and Advanced Technology,9(3), 2249 – 8958.
148. PS, M. G., & Bhargavi, R. (2019). Selection of Important Features for Optimizing Crop Yield Prediction. International Journal of Agricultural and Environmental Information Systems (IJAEIS), 10(3), 54-71.
149. Arumugam, S., & Bhargavi, R. (2019). A survey on driving behavior analysis in usage based insurance using big data. Journal of Big Data, 6(1), 86.
150. Kumar, J. S., & Maheswari, N. (2019). Privacy preservation analysis in social network graphs for avoiding community detection and publishing sensitive information’ International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(6), 888 – 893.
151. Kumar, G.B., & Phull, D.K. (2019). Efficient search mechanism from large scale corpora for domain-specific language modeling in speech recognition, International Journal of Engineering and Advanced Technology (IJEAT), 8-6, 1682-1689.
152. Saluja, G. S., & Maheswari, N. (2019). Comparative Study to Predict the Kidney Disease for the Clinical Data Using Classification Techniques. Indian Journal of Public Health Research & Development, 10(8), 73-77.
153. Kumar, J.S, & Maheswari, N. (2019). Privacy preservation analysis in social network graphs for avoiding community detection and publishing sensitive information. International Journal of Innovative Technology and Exploring Engineering, 8(6),888–893.
154. Chandiramani, K., Garg, D., & Maheswari, N. (2019). Performance Analysis of Distributed and Federated Learning Models on Private Data. Procedia Computer Science, 165, 349-355.
155. Balasundaram, A., & Chellappan, C. (2019). Computer vision based system to detect abandoned objects. International Journal of Engineering & Advanced Technology (IJEAT), 9(1), 4000-4010.
156. Balasundaram, A., Kumar, S.A., & Kumar, S.M. (2019). Optical flow based object movement tracking. International Journal of Engineering & Advanced Technology (IJEAT), 9(1), 3913-3916.
157. Pradeep, K. V., & Vijayakumar, V. (2019, August). Energy-efficient consolidation of virtual machines in cloud data centers. International Journal of Engineering and Advanced Technology(IJEAT), 8(6), 446-449.
158. Pradeep, K. V., & Vijayakumar, V. (2019, June). Secure key management system in cloud environment for client data. International Journal of Engineering and Advanced Technology(IJEAT), 8(6), 1490-1496.
159. Pradeep.K. V., Vijayakumar, V., & Sathiyanarayanan, M. (2019, May). Visual analytics on spatial time series for environmental data. International Journal of Recent Technology and Engineering(IJRET), 8(1C2), 1173-1181.
160. Pradeep.K. V., & Vijayakumar, V. (2019, May). A proposed client based key management framework to secure information in cloud storage for public SaaS”, International Journal of Recent Technology and Engineering(IJRET), 8(1), 2148-2153, May 2019.
161. Sowmiyasree, R. R., Maheswari, N., & Sivagami, M. (2019). Improving the performance of hadoop framework using optimization process in the information management. Advances in Science, Technology and Engineering Systems, 4(5), 327–333.
162. Giri, B., Sivagami, M., & Maheswari, N. (2019). Frequent item set mining for data streaming using spark with pincer search algorithm. International Journal of Recent Technology and Engineering, 7(6), 40–45.

163. Sariki, T. P., & G, B. K. (2019). Exploiting visual content of book front cover to aggrandize the content based book recommendation system. International Journal of Innovative Technology and Exploring Engineering, 8(12), 1631-1634.
164. Ragala, R & Kumar, B. (2019). HOSVD based hybrid CNN-ELM model for scene categorization. International Journal of Advanced Trends in Computer Science and Engineering, 8(6), 3498 – 3503.
165. Ragala, R., Nagelli, A., & Saleena, B. (2019). Automotive rank based ELM using iterative decomposition. International Journal of Intelligent Engineering and Systems, 12(5), 287-298.
166. Ramesh, R., Ramya, V., & Kannan, R.J. (2019). Squeezing deep learning into mobile devices. International Journal of Recent Technology and Engineering, 7(6S), 902-906.
167. Kumar, S.M., Ashokkumar, S., & Balasundaram, A. (2019). Providing enhanced resource management framework for cloud storage. International Journal of Engineering & Advanced Technology (IJEAT), 9(1), 3903-3908.
168. Sariki, T.P., Kumar, G.B.,Shukla, U., & Mishra, A. (2019). An adroit approach for extractive text summarization. International Journal of Engineering and Advanced Technology, 8 (5), 2047-2051.
169. Jothi, R., Mohanty, S. K., & Ojha, A. (2019). DK-means: a deterministic k-means clustering algorithm for gene expression analysis. Pattern Analysis and Applications, 22(2), 649-667.
170. Vijayakumar, V., Vairavasundaram, S., Logesh, R., & Sivapathi, A. (2019). Effective knowledge based recommender system for tailored multiple point of interest recommendation. International Journal of Web Portals (IJWP), 11(1), 1-18.
171. Pradeep, K. V., Vijayakumar, V., & Subramaniyaswamy, V. (2019). An Efficient Framework for Sharing a File in a Secure Manner Using Asymmetric Key Distribution Management in Cloud Environment. Journal of Computer Networks and Communications, 2019.
172. Chauhan, A., Vijayakumar, V.,Sliman, L. (2019). Ontology matching techniques: a gold standard model. International Journal of Innovative Technology and Exploring Engineering, 8(6S), 370-373.

173. Sagar Gupta, Jenila Livingston L.M.& Agnel Livingston L.G.X. (2019, Sept). Prediction of Top Tourist Attraction Spots using Learning Algorithms. International Journal of Recent Technology and Engineering (IJRTE), ISSN: 2277-3878, Vol-8, Issue-3, pp 1063-1067.

174. Pragya Nayak & Jenila Livingston L.M. (2019, July). Automated Notification for Improper use of AWS Resources. International Journal of Recent Technology and Engineering (IJRTE), ISSN: 2277-3878, Vol-8, Issue-2, pp 981-988.

175. Karthiyaini S, Senthamaraikannan K, Priyadarshini J, Gupta K, Shanmugasundaram M. Prediction of Mechanical Strength of Fiber Admixed Concrete Using Multiple Regression Analysis and Artificial Neural Network. Advances in Materials Science and Engineering. 2019;

176. Ilakiyaselvan N, Hardik Bhatt, Utkarsh Shukla, A. Nayeemulla khan , A. Shahina, “Epileptic Seizure Prediction through Machine Learning and Spatio-Temporal Features Based Time Series Analysis of Intracranial Electroencephalogram Data”, International Journal of Engineering and Advanced Technology (IJEAT), ISSN: 2249 8958, Volume-9 Issue-1, October 2019

177. J.V. Thomas Abraham, A. Shahina, A. Nayeemulla Khan, “Enhancing Noisy Speech using WEMD”, International Journal of Recent Technology and Engineering(IJRET), Volume-7, Issue-5S4, Feb 2019.

178. J.V. Thomas Abraham, A. Nayeemulla Khan, “Imputations of Hostile Conditions in Automatic Speaker Recognition Performance”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume-8 Issue-7, May 2019.

Year 2018

1. Sudhakar, M., & Meena, M. J. (2018). A novel method to detect foreground region using morphological operations with block based enhancement for underwater images. International Journal of Engineering & Technology, 7(3), 1751-1756. (This is available under 2019 in website)
2. Anusooya, G., Vijayakumar, V., Punitha, K., Sathyarajasekaran, K., & Bharathiraja, S. (2018). A comparative analysis about load balancing algorithms using cloud simulator. International Journal of Civil Engineering & Technology (IJCIET), 9(7), 476-483.
3. Prakash, B., & Viswanathan, V. (2018). Ontology based risks management model for agile software development. Journal of Advanced Research in Dynamical and Control Systems, 10(11), 319-330.
4. Premalatha, M., Viswanathan, V., Suganya, G., Kaviya, M., & Vijaya, A. (2018). Educational data mining and recommender systems survey. International Journal of Web Portals (IJWP), 10(1), 39-53.
5. Sathyarajasekaran, K., & Ganesan, R. (2018). Change impact analysis (CIA) and its role in analysis and design of software development. International Journal of Engineering and Advanced Technology (IJEAT), 8(2S), 275-283.
6. Sathyarajasekaran, K., & Ganesan, R. (2018). Effect of code generation in change impact analysis using MVC design pattern. Journal of Advanced Research in Dynamical Control Systems (JARDCS),10(1), 2417-2429.
7. Kumar, B.S. (2018). Simplifying use case transaction identification by using architect’s use case diagram. Journal of Advanced Research in Dynamical & Control Systems, 10(9), 2145-2156.
8. Rao, B.P. (2018). Software development effort estimation: a framework. International Journal of Applied Business and Economic Research, 15(22), 749-763.
9. Rajarajeswari, S., & Neelanarayanan, V. (2018). Consistent context aware behaviour in smart home environment, International Journal of Sustainable Society, 10(4), 300-312.
10. Poornima, N., & Saleena, B. (2018). Automatic Annotation of Educational Videos for Enhancing Information Retrieval. Pertanika Journal of Science & Technology, 26(4), 1571-1590.
11. Ramkumar, A.S, Poorna, B., & Saleena, B. (2018). Ontology based text document clustering for sports. Journal of Engineering and Applied Sciences, 13(11), 4073-4079.
12. K Dinesh Kumar and E Umamaheswari, “Efficient Cloud Resource Scaling based on Prediction Approaches”, International Journal of Engineering & Technology (UAE), ISSN: 2227-524X, Vol. 7, No 4.10, 2018.
13. Kumar, K. D., & Umamaheswari, E. (2018). Efficient Cloud Resource Scaling based on Prediction Approaches. International Journal of Engineering & Technology, 7(4.10).
14. Kumar, K. D., & Umamaheswari, E. (2018). Resource provisioning in cloud computing using prediction models: a survey. International Journal of Pure and Applied Mathematics, 119(9), 333-342.
15. George, B., & Umamaheswari, E. (2018). An Overview of the impact of fog computing and internet of things on cloud computing and its challenges. Journal of Advance Research in Dynamical and Control Systems, 10(12), 882-887.
16. Maheswari, S., & Selwyn, J. (2018, December). A review on the quality of service of web services International Journal of Mechanical Engineering and Technology. 9(12), 414–424.
17. Ranganathan, S., & Selwyn, J. (2018, December). A study on the use of datamining to improve performance and security of intelligent transportation systems. International Journal of Mechanical Engineering and Technology, 9(13), 810–818.
18. Mabel, V.H., & Selwyn, J. (2018, September). Preliminary results on the implementation of music expert system. International Journal of Engineering and Applied Sciences, 13(14), 5814-5819.
19. Ranganathan, S., & Selwyn, J. (2018, June). Automatic extraction of acronyms from english newspapers. International Journal of Mechanical Engineering and Technology, 9(6), 817–826.
20. M Priya, M. K., & Selwyn, J. (2018). KM trajectory schema service frame work for software development organizations. International Journal of Engineering &Technology, 7(3.12), 616-620.
21. Selwyn, J., & Sundaram, M. K. (2018). Evaluating the dynamic metrics for object-relational modeling. International Journal of Knowledge based Computer Systems, 6(1), 1-6 .
22. Hemalatha, C. S., Sankaran, V., Vaidehi, V., Sharmi, P., Lavanya, B., Vasuhi, S., & Kumar, R. (2018). Symmetric uncertainty based search space reduction for fast face recognition. International Journal of Intelligent Information Technologies (IJIIT), 14(4), 77-97.
23. Ibrahim, S. S., Sivabalakrishnan, M., & Ibrahim, S. P. (2018, November). Lazy learning associative classification in mapreduce framework. International Journal of Recent Technology and Engineering (IJRTE), 7(4S), 168-172.
24. Suganeshwari, G., SP, S. I., & Li, G. (2018). Lazy collaborative filtering with dynamic neighborhoods. Information discovery and delivery. Information Discovery and Delivery,46(2), 95-109.
25. Tamrakar, P., & Ibrahim, S. S. (2018). Attribute ranking based lazy learning associative classification. ARPN Journal of Engineering and Applied Sciences, 13(11), 3698-3705.
26. Suganeshwari, G., & Ibrahim, S. P. (2018). A comparative study on similarity measures in collaborative filtering algorithms for movie recommendation. International Journal of Pure and Applied Mathematics, 119(15), 1495-1504.
27. Tamrakar, P., & Ibrahim, S. S. (2018). A review of lazy learning associative classifications. International Journal of Pure and Applied Mathematics, 119(15), 1507-1515.
28. Wagh, T. A., Bhargavi, R., Wagh, T. A., & Samant, R. M. Forest cover type prediction using cartographic variables. International Journal of Computer Applications, 975, 8887.
29. Vijayalakshmi, A., PAUL, C. J. (2018, October). Big data health care system using distributed wearable sensors. International Journal of Engineering & Technology, 7(4.10), 429-431.
30. Prabha A, J., R, B., & Ragala, R. (2018). Prediction of dyslexia using support vector machine in distributed environment. International Journal of Engineering & Technology, 7(4), 2795-2799.
31. Gopal, P.S.M., & Bhargavi, R. (2018) . Feature selection for yield prediction using boruta algorithm. International Journal of Pure and Applied Mathematics, 118(22), 139-144.
32. Sarobin, V.R. M., Rukmani, P., Jasmine. S, G., & Harini, S. (2018). Application of data analytics for IoT based healthcare system, International Journal of Engineering & Technology, 7(3-8), 169 – 172.
33. Naidu, C., Kumar, D., Maheswari, N., & Sivagami, M. (2018). Prediction of alzheimer’s disease using brain images. Research Journal of Pharmacy and Technology, 11(12), 5365-5368.
34. Thakur, V. A., Mabel, V.H., & Dhingra, V. (2018). A critical literature review on patent document mining, analysis and evaluation. Journal of Advanced Research in Dynamical and Control Systems, 13, pp. 2260-2271.
35. Subramanian, A., Sivagami, M., & Maheswari, N. (2018). Improved speeded up robust features for low contrast images. International Journal of Engineering and Technology, 7(4), 4697-4701.
36. Khobragade, A.N., Maheswari, N., Sivagami, M. (2018). Analysing the housing rate in a real estate informative system, International Journal of Civil Engineering and Technology, 9(5), 1156-1164.
37. Mayankkushwah, S.A., & Bharathiraja, S. (2018). Detection of malware in windows operating system, International Journal of Pure and Applied Mathematics, 120(6), 1219-1240, 2018.
38. Prassanna, J., Prabhakaran, R., Vincent, R., Nawas, K. K., & Geetha, M. (2018). IOT-Enabled efficient solid waste management system towards building smart city. International Journal of Civil Engineering and Technology (IJCIET), 9(12), 603-611.
39. Jackson, J. C., & Vijayakumar, V. (2018). A review on congestion control system using APU and D-FPAV in VANET. International Journal of Advanced Intelligence Paradigms, 10(4), 391-400.
40. Ponraj, A. S., & Jackson, C. (2018). NFC based parking system for smart cities. ARPN Journal of Engineering and Applied Sciences, 13 (11), 3758-3764.
41. Jackson, J.C., & Vijayakumar, V. (2018). Taxonomy on evolutionary computation approaches in vehicular adhoc networks, International Journal of Pure and Applied Mathematics,120 (8), 169-177.
42. Jyothi, K., & Jackson, J.C. (2018). A time-based approach for solving the dynamic path problem in vanets – an extension of ant colony optimization, Journal of Engineering Science and Technology,13 (3), 813-821.
43. Devi, V.K., Gururaj, A.D.M., Kavya, A., & Umamaheswari, E. (2018). Truck tracking and alerts monitoring system. International Journal of Civil Engineering and Technology, 9, 105-111.
44. Gayathri, R., & Neelanarayanan, V. (2018). DoS detection solution for cloud platform using SNMP. Int J Pure Appl Math, 119(11), 175-83.
45. Sivakumar, V., & Rekha, D. (2018). Underwater acoustic sensor node scheduling using an evolutionary memetic algorithm. Journal of Telecommunications and Information Technology, 1(1), 88-94.
46. Priya R,P., Sanjay, A.R., Gupta, Y.V & Rekha, D. (2018, July). Investigating feasible tool for swarm robotic based oil skimming application. International Journal of Engineering and Technology, 7(1), 960-967.
47. Alamelu, N., & Kumar, T.S.P. (2018). Unique Identical Weightage (UIW) model for real time customer search queries. International Journal of Recent Technology and Engineering(IJRTM), 14(1), 1612–1621.
48. Kumar, T. P., & Krishna, P. V. (2018). Power modelling of sensors for IoT using reinforcement learning. International Journal of Advanced Intelligence Paradigms, 10(1-2), 3-22.
49. Mathew, S. A., & Md, A. Q. (2018). Evaluation of blockchain in capital market use-cases. International Journal of Web Portals (IJWP), 10(1), 54-76.
50. Matthew, K. M., & Md, A. Q. (2018). Analysis framework for logs in communication devices. International Journal of Web Portals (IJWP), 10(1), 15-26.
51. Maheswari,R., Rani, S., & Sharmila, P.(2018). IoT driven vehicle license plate extraction approach, International Journal of Engineering and Technology (UAE), 7 (2), 457-459.
52. Maheswari, R., Gomathy, V., & Sharmila, P. (2018). Cancer detecting nanobot using positron emission tomography. Procedia Computer Science, 133, 315-322.
53. Maheswari, R., Rani, S., & Sharmila,P. (2018). Real time environment simulation through virtual reality. International Journal of Engineering and Technology (UAE), 7(2), 404-406.
54. Maheswari, R., Sheeba, S., Gnanamalar, R., Sharmila, P., & Gomathy, V. (2018). Solar powered system-on-chip for meteorological data station. International Journal of Pure and Applied Mathematics, 118(20), 1225-1229.
55. Priyaadharshini, M., & Vinayaga Sundaram, B. (2018). Evaluation of higher‐order thinking skills using learning style in an undergraduate engineering in flipped classroom. Computer Applications in Engineering Education, 26(6), 2237-2254.
56. Gondalia, A., Dixit, D., Parashar, S., Raghava, V., Sengupta, A., & Sarobin, V. R. (2018). IoT-based healthcare monitoring system for war soldiers using machine learning. Procedia computer science, 133, 1005-1013.
57. Vijaya, A., & Venkataraman, N. (2018). Modernizing Legacy Systems: A Re-Engineering Approach. International Journal of Web Portals (IJWP), 10(2), 50-60.
58. Shanthi, S., Kannan, R. J., & Santhi, S. (2018). Efficient secure system of data in cloud using steganography based cryptosystem with FSN. Materials Today: Proceedings, 5(1), 1967-1973.
59. Gayathri, M., & Kannan, R. J. (2018). Ontology based Indian medical system. Materials Today: Proceedings, 5(1), 1974-1979.
60. Kumar, P. S., & Kannan, R. J. (2018). An Enhanced and Efficient Approach for Improving the Performance of HPC Environment Using Map-Reduce With MARIANE. Materials Today: Proceedings, 5(1), 1980-1988.
61. Naresh, K., & Kannan, R. J. (2018). An Enumeration of Radiotherapy Terminologies, Planning and its Optimization. Materials Today: Proceedings, 5(1), 1048-1056.
62. Prabakaran, N. (2018). Smart Objects Assisted Event Detection System Using Wireless Sensor Networks. Materials Today: Proceedings, 5(1), 1063-1070.
63. Kumar, R, S., & Kannan, R. J. (2018). Review of Advancements in Multi-tenant Framework in Cloud Computing. Indonesian Journal of Electrical Engineering and Computer Science, 11(3), 1102-1108.
64. Purniemaa, P., & Kannan, R. J. (2018). Cascaded neural network based data mining strategy for cloud intrusion detection. Indonesian Journal of Electrical Engineering and Computer Science, 11(3), 1094 – 1101.
65. Jeyapriya, J., Umadevi, K.S., & Kannan, R. J. (2018). Automated detection of microaneurysms using probabilistic cascaded neural network. Indonesian Journal of Electrical Engineering and Computer Science, 11(3), 1083 – 1093.
66. Shanmugavel, S., Kannan, R. J., & Sudhkar, A.V. (2018). Handwritten optical character extraction and recognition from catalogue sheets. International Journal of Engineering and Technology, 7(4.5), 36 – 39.

67. Velmurugan, J., & Kannan, R. J. (2018). Dynamic trust factor based energy efficient relay node selection in WHSNs”, Journal of Engineering and Applied Sciences, 13(6), 1326 – 1330.
68. Rai, A., & Kannan, R. J. (2018). Differed restructuring of neural connectome using evolutionary neurodynamic algorithm for improved M2M online learning. Procedia computer science, 133, 298-305.
69. Kirthica, S., & Sridhar, R. (2018). Securely communicating with an optimal cloud for intelligently enhancing a cloud’s elasticity. International Journal of Intelligent Information Technologies (IJIIT), 14(2), 43-58.
70. Kushwah, M., Bharathiraja, S., & Asha, S. (2018). Detection of malware in windows operating system. International Journal of Pure and Applied Mathematics, 120(6), 1219 – 1240.
71. Jayanthi, R., & Singh, K. J. (2018). Encrypted image-based data hiding technique using elliptic curve ElGamal cryptography. International Journal of Reasoning-based Intelligent Systems, 10(3-4), 279-285.
72. Sarojini, S., & Asha, S. (2018). Study of fighting financial botnets crimeware toolkits. International Journal of Pure and Applied Mathematics, 118(24), 1-12.
73. Prabhakaran, R., & Asha, S. (2018). Enhancing cyber security in power substation using RSA algorithm and LSB stegnography methodology. International Journal Of Pure And Applied Mathematics ,118 (24), 1-17.
74. Rishabh, T., & Asha, S. (2018). Network traffic analysis using weka tool, International Journal of Pure and Applied Mathematics, 118 (24), 1-14.
75. Reddy, M., Bogati, Asha, S. (2018). Orchestration framework and fabric deployment, International Journal of pure and Applied Mathematics, 118 (24),1-17.
76. Uday, P., Shankar, Alok, C., Asha, S. (2018). Data mining & predictive analysis on airlines performance, International Journal Pure and Applied Mathematics, 118 (24), 1-12.
77. Prabhakaran, R., & Asha, S. (2018). Analysis of cyber physical vulnerability index in a power station. International Journal of Pure and Applied Mathematics. 118 (24), 1-9.
78. Agarwal, S., Patel, F., Chaturvedi, P., Asha, S. (2018). A Novel Approach for Communication among Blind, Deaf and Dumb People. International Journal of Pure and Applied Mathematics, 118(24), 1-13.
79. Sanmay, K., & Asha, S. (2018). Analysis of data from vehicle data recorder in automobile vehicles using machine learning. International Journal of Pure and Applied Mathematics,118 (24), 1-6.
80. Rakhesh, B., & Devi, S.R. A survey to analyse mitigation techniques for distributed denial of service attacks. International Journal of Civil Engineering and Technology, 9(11), 1437–1446.
81. Karmel, A., Adhithiyan, M ., Kumar. P.S. (2018, May). Machine learning based approach for pothole detection, International Journal of Civil Engineering and Technology (IJCIET), 9(5), 882–888
82. Geetha, M., & Ganesan, R. (2018). Enhanced cuckoo search algorithm for energy efficient cooperative communication in wireless body area networks (WBAN), Journal of Advanced Research in Dynamical and Control Systems, 10(10), 2443-2450.
83. Sangeetha, G., Vijayalakshmi, M., Ganapathy, S., & Kannan, A. (2018). A comprehensive analysis of congestion control models in wireless sensor networks. International Journal of Strategic Information Technology and Applications (IJSITA), 9(4), 15-37.
84. Nisha., M, & Jeganathan, L. (2018). Classification of two dimensional cellular automata rules for symmetric pattern generation”, Symmetry, 10(12), 772.
85. Rao, U.S., & Jeganathan, L. (2018). Replication of a binary image on a one-dimensional cellular automaton with linear rules, Complex Systems, 27(4), 415-430.
86. Thangaramya, K., Ganapathy, S., Sairamesh, L., Kulothungan, K., & Arputharaj, K. (2018). Data anonymisation of vertically partitioned data using map reduce techniques on cloud. International Journal of Communication Networks and Distributed Systems, 20(4), 519-531.
87. Munavar, M., & Pattabiraman,V. (2018), Analysis of supervised machine learning techniques on the application of the indian coastal dataset. International Journal of Pure and Applied Mathematics, 118(18), 1913-1923.
88. Sriraman, H., & Pattabiraman, V. (2018, March), Extending lifetime reliability model for multi-threaded architectures. International Journal of Next-Generation Computing, 9(1), 51-65, 2018.
89. Mehfooza, M., & Pattabiraman, V. (2018). SP-DDPT: a simple prescriptive-based domain data preprocessing technique to support multilabel-multicriteria learning with expert information. International Journal of Computers and Applications. 1-7.
90. Rosaline, A., & Parvathi.R. (2018). Sensing the mood on crimes against women by exploring social media using dimensional model. International Journal of Engineering and Technology(UAE), 7 (2.20), 344-348.
91. Monika,M., & Parvathi, R., (2018). Correlation analysis of community detection in social network of big data methodical using set theorem. International Journal of Engineering and Technology(UAE), 7 (2.21), 398-401.
92. Dharini., R, & Parvathi, R. (2018). Event detection from Twitter – a survey. International Journal of Web Information Systems, 14 (3), 262-280.
93. Shyamala, L., & Balaji, A. (2018). Adaptive rank based scheduling in an institutional cloud oriented distributed datacenters. International Journal of Civil Engineering and Technology, 9,(7), 1241–1248.
94. Kumar, J. S., & Maheswari, N. (2018). An approach towards privacy preservation of sensitive information in social networked graphs’ Journal of Advanced Research in Dynamical and Control Systems, 10 (10), 2363 – 2374.
95. Nirmala, G., Geetha, S., & Selvakumar, S. (2018). Optimization of path planning problem of a mobile robot using hybrid exploration and exploitation with hill climbing technique. Sylwan Journal, 162(5), 58-71.
96. Geetha, S., Punithavathi, P., Infanteena, A. M., & Sindhu, S. S. S. (2018). A literature review on image encryption techniques. International Journal of Information Security and Privacy (IJISP), 12(3), 42-83.
97. Angaleeswari, K., Ezhilarasan, T., Perumal, M., Geetha, S., & Swaminathan, V. (2018, May) .Study on k – extensibility and weakly k -extensibility in harary graphs (Hm,n), for specific values of m and n. International Journal of Mathematics Trends and Technology (IJMTT), 1-7.
98. Sandhya, P. (2018, July). Ensemble learning on forecasting fine grained pollutant levels in air using random forest, naive bayes, decision tree algorithms. International Journal of Civil Engineering and Technology (IJCIET),9(7), 303-313.
99. Sandhya P., Gupta, S., Saikishan, G., & Garg, H.M. (2018). Smart home using IOT. ARPN Journal of Engineering and Applied Sciences,13(13),4224-4230.
100. Suseela, S., & Phamila, Y.A.V. (2018). Low complexity secured image compression for wireless image sensor network with chaotic map. International Journal of Pure and Applied Mathematics, 119(16), 4861-4870.
101. Kalaivani, K., & Phamila, Y.A.V .(2018). Modified Wiener Filter for Restoring Landsat Images in Remote Sensing Applications. Pertanika Journal of Science & Technology, 26(3), 1005-1018.
102. Sekar, S. N, Anbarasi, L. J., & Dhanya, D. (2018). An efficient distributed compressive sensing framework for reconstruction of sparse signals in mechanical systems. International Journal of Mechanical Engineering and Technology (IJMET), 9(13), 1286-1292.
103. Khobragade, A.N., Maheswari, N., & Sivagami, M.(2018). Analyzing the housing rate in a real estate informative system: a prediction analysis. International Journal of Civil Engineering & Technology (IJCIET), 9(5), 1156-1164.
104. Ragala, R., Prabha, A.J., & Bhargavi, R. (2018). Prediction of dyslexia using support vector machine in distributed environment. International Journal of Engineering & Technology, 7(4), 2795-2799.
105. NS, G. R. S., Maheswari, N., Samraj, A., & Vijayakumar, M. V. (2018). An Efficient Score level Multimodal Biometric System using ECG and Fingerprint. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(4), 31-36.
106. Sheryl Oliver, A., Anuradha, M., Jean Justus, J., & Maheshwari, N. (2018). Optimized low computational algorithm for elderly fall detection based on machine learning techniques.
107. Anuradha, M., Sheryl Oliver, A., Jean Justus, J., & Maheswari, N. (2018). IOT based monitoring system to detect the ECG of soldiers using GPS and GPRS.
108. Kumar, J.S., & Maheswari, N. An approach towards privacy preservation of sensitive information in social networked graphs. Journal of Advanced Research in Dynamical and Control Systems, 10(10), 2363-2374.
109. Sariki, T. P., & Kumar G, B. (2018). A book recommendation system based on named entities. Annals of Library and Information Studies (ALIS), 65(1), 77-82.
a. Krishnan E, G., & Malathi, G. (2018). Contactless novel hand wrist biometrics feature detection using surf, International Journal of Civil Engineering and Technology (IJCIET), 9(11), 1102–1114.
110. Rajesh, K. B., Bhat, M. S., Vijayalakshmi, C., & Raj, A. N. J. (2018). Model to estimate the salt and pepper noise density level on gray-scale digital image. EAI Endorsed Transactions on Energy Web, 5(18), 1-7.
111. Srikar, G., & Reshmi, T. R. (2018). A Fuzzy-Logic Based Clustering Algorithm in WSN to Extend Network Lifetime. International Journal of Applied Engineering Research, 13(10), 7711-7718.
112. Logesh, R., Subramaniyaswamy, V., & Vijayakumar, V. (2018). A personalised travel recommender system utilising social network profile and accurate GPS data. Electronic Government, an International Journal, 14(1), 90-113.
113. Mohanraj, V., Vaidehi, V., Vasuhi, S., & Kumar, R. (2018). A Novel Approach for Face Recognition under Varying Illumination Conditions. International Journal of Intelligent Information Technologies (IJIIT), 14(2), 22-42.
114. Chakkaravarthy, S. S., Vaidehi, V., & Rajesh, P. (2018). Hybrid analysis technique to detect advanced persistent threats. International Journal of Intelligent Information Technologies (IJIIT), 14(2), 59-76.
115. Sibi Chakkaravarthy, S., Sangeetha, D., Venkata Rathnam, M., Srinithi, K., & Vaidehi, V. (2018). Futuristic cyber-attacks. International Journal of Knowledge-based and Intelligent Engineering Systems, 22(3), 195-204.
116. Mohanraj, V., Vaidehi, V., Vasuhi, S., & Kumar, R. (2018). A Novel Approach for Face Recognition under Varying Illumination Conditions. International Journal of Intelligent Information Technologies (IJIIT), 14(2), 22-42.
117. Chakravarthi, K. K., & Vijayakumar, V. (2018). Workflow Scheduling Techniques and Algorithms in IaaS Cloud: A Survey. International Journal of Electrical and Computer Engineering, 8(2), 853.
118. Brindha, J., & Vijayakumar, V. (2018). Framework and Implementation of Marine Dumping Area’s Monitoring System Based on GPRS. Indonesian Journal of Electrical Engineering and Computer Science, 9(2), 322-326.
119. Brindha, J., & Vijayakumar, V. (2018). Proximity Sensors Based Marine Engine Fault Detection using CAN Protocol. Indonesian Journal of Electrical Engineering and Computer Science, 9(3), 619-623.
120. Basha, A., & Vijayakumar, V. (2018). Mobile-Robot Navigation through Fuzzy Behavioral Algorithm & Vector-Polar Histogram Algorithm. Indonesian Journal of Electrical Engineering and Computer Science, 9(3), 565-571.

121. Satapathy A. & Jenila Livingston L.M. (2018). An Intelligent Framework Prototype for Monitoring Students in Virtual Classroom. Indonesian Journal of Electrical Engineering and Computer Science, p-ISSN: 2502-4752, e-ISSN: 2502-4760, Vol. 12, Issue 3, pp 1151-1158.

122. Satapathy A. & Jenila Livingston L.M. (2018). A Denial of Service Attack on DHCP Server and its Countermeasures. ARPN Journal of Engineering and Applied Sciences, ISSN 1819-6608, Vol. 13, Issue 12, pp 3983-3787.

Year 2017

1. Sudhakar, M., & Meena, M.J. (2017, November). An efficient eye region detection by gamma correction for real time application. Journal of Advanced Research in Dynamical and Control Systems, 9(8), 237-248. (This is available under 2018 in website)
2. Pradhan, G.K, Gollapalli, S, Meena, M.J & Ibrahim, S. P.S. (2017). Survey on advisor intelligence through purchase patterns and sales analytics. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 302-304.
3. Nath, N. D., Jha, S., Meena, J.M., & Ibrahim, S. P.S. (2017). A survey paper on elastic search similarity algorithm. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 361-364.
4. Sharma, P., Meena, M. J., & Ibrahim, S. P.S. (2017). Media mix modeling comparison of interaction model to simple log-linear model. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 390-393.
5. Vaidya, P. V., Meena, M. J., & Ibrahim, S. P.S. (2017). Cloud-based data analytics framework for mobile app event analysis. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 207-210.
6. Punitha,K. (2017). Enactment of face recognition algorithm for attendance system. International Journal of Applied Engineering Research, 12(24), 14014-14018.
7. Premalatha, M., Viswanathan, V., Ravali, R., & Akshay, A. (2017). Recommender systems for course re-registration. International Journal of Economic Research,14(16), 319-327.
8. Prakash, B., & Viswanathan, V. (2017). A survey on software estimation techniques in traditional and agile development models. Indonesian Journal of Electrical Engineering and Computer Science, 7(3), pp.877-886.
9. Ruikar, A.V., & Viswanathan, V. (2017). Bus location and route system using IoT . Asian Journal of Pharmaceutical and Clinical Research, Asian Journal of Pharmaceutical and Clinical Research, Special issue on Advances in Smart Computing and Bioinformatics, 1(1),129-132.
10. Jayasudha ,R., Viswanathan, V., & Shanthi, P. (2017). Implementation of reuse in the Agile software development process SCRUM. Asian Journal of Pharmaceutical and Clinical Research, Special issue on Advances in Smart Computing and Bioinformatics, 1(1),143-147.
11. Anusooya, G., Jackson, C., & Sathyarajasekaran, K., & Kannan. K. (2017). RFID based smart car parking system. International Journal of Applied Engineering Research,12(17), 6559-6563.
12. Nachiyappan, S. and Selwyn, J. (2017). Pre hadoop and post hadoop validations for big data. International Journal of Mechanical Engineering and Technology. 8(10), 1(1), 608-616.
13. Kumar, B.S. (2017). Evaluation of capturing architecturally significant requirements methods. Asian Journal of Pharmaceutical and Clinical Research, 10,1(1), 122-128.
14. Ghosh, S., Kumar, B.S., & Deivanai, K. (2017). Detection of whales using deep learning methods and neural networks. Asian Journal of Pharmaceutical and Clinical Research, 10, 1(1), 489-494.
15. Rao, B.P. (2017). A case study on software project development cost, schedule & effort estimation. Asian Journal of Pharmaceutical and Clinical Research, Special issue on Advances in Smart Computing and Bioinformatics, 1(1),10-14.
16. Borah, R., Rajarajeswari, S. (2017). A study on application of machine learning and computer vision for retail projects. Asian Journal of pharmaceutical and clinical research, 1(1), 476-480.
17. Saikia, S., Saleena, B., & Prakash, B. (2017). Dynamic location area planning in cellular network using frequent pattern mining. Asian Journal of Pharmaceutical and Clinical Research,10(13), 324-327.
18. Tejashwini, K., Saleena, B., Prakash, B., & Shopia, S. (2017). Analyzing the stock market behavior using event study and sentiment analysis on twitter posts. International Journal of Pure and Applied Mathematics, 117(15), 387 – 396.
19. Sangavi, V.P., & Saleena, B. (2017, April). Unmanned image narration. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 378-381.
20. Poornima, N., Agrawal, S., & Saleena, B. (2017). Prior ontology selection and query translation for information search. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 499-501.
21. Suganya, G., Premalatha, M., Bharathiraja, S., Agrawal, R. (2017). low cost design to detect drowsiness of driver. International Journal of Civil Engineering and Technology (IJCIET), 8(9), 1138–1149.
22. Umamaheswari. E., & Ajay, D.M. (2017, April), Scope of internet of things: a survey, Asian Journal of Pharmaceutical and Clinical Research, 1(1), 187-190.
23. Kumar, K.D., & Umamaheswari, E. (2017, April). An authenticated, secure virtualization management system in cloud computing. Asian Journal of Pharmaceutical and Clinical Research, Advances in Smart Computing and Bioinformatics, 1(1), 45-48.
24. Mabel, V.H., & Selwyn, J. (2017, December). Knowledge based process framework for the static and dynamic activities in design and development. International Journal of Mechanical Engineering and Technology, 8(12), 307-315.
25. Rahaman, A., & Selwyn, J. (2017). A survey study on significant quality dimensions and factors for knowledge management systems. Journal of Advanced Research in Dynamical and Control Systems, 1(15), 78-88.
26. Sridhar, R., & Selwyn, J. (2017). A study on the named entity recognition and classification. International Journal of Artificial Intelligence and Knowledge Discovery, 7(1), 1.
27. Nimbalkar, Y.A., & Selwyn, J. (2017, August). Implementing a knowledge based Band Management Tool. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2(4), 163-169.
28. Rachel,S.P, & Selwyn, J. (2017). Concept-relation constructs for knowledge representation. International Journal of Economic Research, 15(22), 765-775.
29. Maheswari. S, & Selwyn, J. (2017). A survey on QoS of real world web services. International Journal of Economic Research, 15(22), 847-856.
30. Drishti., Nachiyappan, S., & Selwyn, J. (2017). Towards an automated testing framework for big data. International Journal of Economic Research, 14(16), 301-311.
31. Suganya, G., Premalatha, M., Bharathiraja, S., & Rohan Agrawal, A. (2017). Low cost design to detect drowsiness of driver. International Journal of Civil Engineering and Technology, 8(9), 1138–1149.
32. Sivagami, M., Revathi, T., & Jeganathan, L. (2017). An optimised background modelling for efficient foreground extraction. International Journal of High Performance Computing and Networking, 10(1-2), 44-53.
33. Bhargavi, R., & Abraham, M.S. (2017). Failure analysis based on relaibility testing using genetic algorithm. International Journal of Control Theory and Applications, 10(33), 183-191.
34. Mathew, T., Jeganathan, L., & Rao, U. S. (2017). A cellular automata model for safe investment based on expert’s recommendations. International Journal of Economics and Business Research, 14(3-4), 390-400.
35. Waghmare, A., & Hemalatha, S. (2017). Predictive analytics of health care data.Asian Journal of Pharmaceutical and Clinical Research, 10(1),333 – 336.
36. Anirudh Bhardwaj, C., Mishra, M., & Hemalatha, S. (2017). An Automated Compatibility Prediction Engine using DISC Theory Based Classification and Neural Networks. International Journal of Engineering Technology Science and Research, 4(8), 347 – 353.
37. Vaidya, P.V., Meena, J.M., & Ibrahim, S.P. (2017, April). Cloud-based data analytics framework for mobile app event analysis. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 207 – 210.
38. Pradhan, G. K., Gollapalli, Meena, J. M, Ibrahim,S.P. (2017). Survey on advisor intelligence through purchase patterns and sales analytics. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 302-304.
39. Nath, N.D., Jha, S., Meena, J. M, Ibrahim,S.P. (2017). A survey on elastic search similarity algorithm, Asian Journal of Pharmaceutical and Clinical Research. 10(13), 361 – 364.
40. Singh, R.K. (2017, December). Human-less auto meter reading: HAMER system. International Journal of Research in Engineering, IT and Social Sciences, 7(12), 77-80.
41. Jamdar1, N., & Vijayalakshmi, A. (2017, April). Big data mining for interesting patterns with map reduce technique, Asian Journal of Pharmaceutical and Clinical Research, 10(1), 191-193.
42. Barapatre, D., & Vijayalakshmi, A. (2017). Data Preparation on large datasets for data science, Asian Journal of Pharmaceutical and Clinical Research, 10(1), 485-488.
43. Kumar, P., Patel, F., & Kanna, R. (2018). An efficient line clipping algorithm for circular windows using vector calculus and parallelization. International Journal of Computer Graphics & Animation, 8(1/2), 1-8.
44. Rajkumar, S., & Malathi, G. (2017). An efficient image denoising approach for the recovery of impulse noise. Bulletin of Electrical Engineering and Informatics, 6(3), 281-286.
45. Punithavathi, P., & Geetha, S. (2017). Visual cryptography: A brief survey. Information Security Journal: A Global Perspective, 26(6), 305-317.
46. Punithavathi, P., & Geetha, S. (2017). Random projection-based cancelable template generation for sparsely distributed biometric patterns. Indonesian J Electric Eng Comput Sci, 7(3), 877-886.
47. Punithavathi, P., & Subbiah, G. (2017). Can cancellable biometrics preserve privacy?. Biometric Technology Today, 2017(7), 8-11.
48. Sandhya, P. (2017, August). Health analysis using big data. ARPN Journal of Engineering and Applied Sciences, 12(15), 4620-4623.
49. Sandhya, P., & Chouhan, S. (2017, April). Internet of thing BASED based car parking system. Asian Journal of Pharmaceutical and clinical research, 10(13), 97-100.
50. Geetha, M., Prassanna, J., Nivedita, M., & Prabhakaran R. (2017, November). Towards an enhanced efficient cross layer protocol (EECLAP) for wireless sensor networks. International Journal of Mechanical Engineering and Technology, 8(11), 394 – 402.
51. Susheela, G., & Phamila, Y.A.V. (2017). Low bitrate hybrid secured image compression for wireless image sensor network. Asian Journal of Pharmaceutical and Clinical Research, 1(4), 101-104.
52. Kalaivani. K., & Phamila, Y.A.V. (2017). Pixel level fusion of multi temporal landsat images using discrete wavelet transform for detecting changes. Journal of Advanced Research in Dynamical and Control Systems, 9(5), 125-130.
53. Mounika,N., K., Kalaivani & Phamila, Y.A.V. (2017). Enhanced data hiding using least significant bit masking technique for image steganography. Journal of Advanced Research in Dynamical and Control Systems, 9(6), 90-96.
54. Sangavi, V.P., Mounika, N., Jasmine N, G. (2017). disaster recovery through prediction of safe route using dem levels. Asian Journal Of Pharmaceutical And Clinical Research,10 (13), 20 – 24.
55. Ibrahim, S. S., Sivabalakrishnan, M., & Kumar, R. S. (2017). Posteriori probability inspired minimal rule generation in associative classification. International Journal of Pure and Applied Mathematics, 116(12), 47-55.
56. Ibrahim, S. S., Pavithra, M., & Sivabalakrishnan, M. (2017). Pstree based associative classification of data stream mining. International Journal of Pure and Applied Mathematics, 116(12), 57-65.
57. Sivagami, M., Revathi, T., & Jeganathan, L. (2017). An optimized background modelling for foreground extraction. International Journal of High Performance Computing and Networking, 10 (1/2), 44-53.
58. Manna, S., & Malathi, G. (2017, August). Performance analysis of classification algorithm on diabetes healthcare dataset. International Journal of Research, 5(8), 260-266.
59. Kanna,B.R., & Rajalakshmi, R. (2017). Perceptive interaction for amputated fingers (PIAF). International Journal of Pure and Applied Mathematics,117 (20), 713-725.
60. Kanna, B, R., Viswanathan, V., & Ebbinason A.J.G. (2017). Eventr – Design of an event management mobile application using ontology. Asian Journal of Pharmaceutical and Clinical Research,10(1), 90-93.
61. Rai, A., & Kannan, R.J. (2017, April). Modeling thermal shock based cracking behaviour of armour material for fusion reactor. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 214 – 217.
62. Rai, A., & Kannan, R.J. (2017, April). Development of cyber-physical system for laser-based controlled cloud seeding. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 218 – 221.
63. Rai, A., & Kannan, R.J. (2017, April). Compressed transmission of depth maps in 3d stream services for robotics & surveillance. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), pp 222 – 224.
64. Rai, A., & Kannan, R.J. (2017, April). Neuro-computational modelling of distributed learning from visual stimuli. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 225 – 229.
65. Rai, A., & Kannan, R.J. (2017, April). Microtubule based neuro-fuzzy nested framework for security of cyber physical system. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 230 – 234.
66. Rai, A., & Kannan, R.J. (2017, April). Hybrid noise filtering algorithm based on neuro-type 2 fuzzy systems. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 235 – 238.
67. Rai, A., & Kannan, R.J. (2017, April). Universal infrastructure of M2M enabled inter-cloud services for intelligent transportation system. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 239 – 243.
68. Rai, A., & Kannan, R.J. (2017, April). Computational modelling and predicting spread of arboreal epidemic. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 244 – 246.
69. Rai, A., & Kannan, R.J. (2017, April). Region specific wavelet compression for 4k surveillance images. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 247 – 250.
70. Rai, A., & Kannan, R.J. (2017, April). Central processing unit-graphics processing unit computing scheme for multi-object tracking in surveillance. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 251 – 253.
71. Rai, A., & Kannan, R.J. (2017, April). Hyper-properties based optical flow-based autonomous driving system. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 254 – 258.
72. Rai, A., & Kannan, R.J. (2017, April). Modeling of light illumination field on micro-expression for face recognition application. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 259 – 262.
73. Rai, A., & Kannan, R.J. (2017, April). Associative rule learning for anomalistic behavioral modeling in banking fraud applications. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 263 – 266.
74. Rai, A., & Kannan, R.J. (2017, April). Shape selectivity of and synthetic visual intelligence. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 267 – 271.
75. Rai, A., & Kannan, R.J. (2017, April). Bi-directional recurrent neural network for improving multispectral image denoising. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 272 – 275.
76. Rai, A., & Kannan, R.J. (2017, April). Touch free user interface for augmented reality systems. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 276 – 278.
77. Rai, A., & Kannan, R.J. (2017, April). Fusion of thermal and RGB images for border security surveillance. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 279 – 281.
78. Rai, A., & Kannan, R.J. (2017, April). Synchronized neural firing for controlling cyber physical system. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), pp 282 – 284.
79. Rai, A., & Kannan, R.J. (2017, April). online learning for image processing in networked setting. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 285 – 287.
80. Rai, A., & Kannan, R.J. (2017, April). Wavelet transformation for enhancing mammographic images. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 288 – 291.
81. Rai, A., & Kannan, R.J. (2017, April). A survey of multispectral image denoising methods for satellite imagery applications. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 292 – 295.
82. Rai, A., & Kannan, R.J. (2017, April). Survey of soft biometric techniques for gender identification. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 296 – 301.
83. Rai, A., & Kannan, R.J. (2017, April). Multi-scale modeling of territorial dynamics of geospatial anthropogenic energy consumption. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 305 – 311.
84. Rai, A., & Kannan, R.J. (2017, April). Internet of things-based multisensor non-invasive technology for robust monitoring of tunneling infrastructure. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 312 – 316.
85. Rai, A., & Kannan, R.J. (2017, April). Virtual farmer: controlling phytochrome signaling in plants through cyber-physical system. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 317 – 320.
86. Rai, A., & Kannan, R.J. (2017, April). A development of von neumann machines with artificial neuro-GLIA network. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 394 – 398.
87. Rai, A., & Kannan, R.J. (2017, April). Simulating drug-target interaction using large scale molecular dynamics and fuzzy ART. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 399 – 401.
88. Rai, A., & Kannan, R.J. (2017, April). Mathematical architecture of micro-services for geographic information system based health management system. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 402 – 405.
89. Rai, A., & Kannan, R.J. (2017, April). A review on machine learning algorithms on human action recognition. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 406 – 416.
90. Rai, A., & Kannan, R.J. (2017, April). Prediction of chronic bacterial infection by identification of inter cellular responses of genetic fusion centers. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 417 – 419.
91. Rai, A., & Kannan, R.J. (2017, April). Mathematical modeling of feedback control of gravitational waves. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 420 – 426.
92. Rai, A., & Kannan, R.J. (2017, April). Modeling and dynamics of puzzling space probes anomalies in space engineering. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 427 – 430.

93. Rai, A., & Kannan, R.J. (2017, April). Computational technique for modeling and clustering of feedback control in galaxies using gravitational thermodynamics. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 431 – 436.
94. Rai, A., & Kannan, R.J. (2017, April). Energy aware zone routing protocol for MANET. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 437 – 440.
95. Rai, A., & Kannan, R.J. (2017, April). Advanced encryption and extended authentication for wireless LAN. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 441 – 444.
96. Gayathri, M., & Kannan, R.J. (2017, April). Layered architecture toward mining ayurvedic facts. Asian Journal of Pharmaceutical & Clinical Research, Special Issue on Advances in Smart Computing and Bioinformatics, 1(1), 506 – 510.
97. Kumar, P.J. S., & Kannan, R.J. (2017, July). Symptoms based predict treatment medicine suggestion system using data mining techniques. Journal of Advanced Research in Dynamical & Control Systems, 1(6), 2012 – 2022.
98. Padmanaban. K., & Kannan, R.J. (2017). Enhanced Three Layer Energy Efficient Clustering (ETLEEC) algorithms for wireless sensor networks. Indian Journal of Public Health Research & Development, 8(3S), 225 – 229.
99. Velmurugan, A.K., & Kannan, R.J. (2017). Sleep scheduling for energy efficient load balance routing in heterogeneous wireless sensor network. Indian Journal of Public Health Research & Development, 8(3S), 236 – 241.
100. Jaya, R., Pillai, C.S., & R Kannan, R.J. (2017, December). Ontology based optimization with adaptive network based fuzzy inference system based health maintenance system. International Journal of Current Research and Review, 9(23), 32 -40.
101. Rani, S.U., & Neelanarayanan, V. (2017). A Review of patient –controlled analgesia infusion system. Asian Journal of Pharmaceutical and Clinical Research, 10(1), 117-121.
102. Sarobin, M.V., Kumar, B., & Lakshmidevi, K.R. (2017, April). Genetic algorithm-based clustering of wireless sensor network with novel data encryption. Asian Journal of Pharmaceutical and Clinical Research, Advances in Smart Computing and Bioinformatics, 10(13), 94-96.
103. Prassanna, J., Anjali, P., & Neelanarayanan, V. (2017). A review of existing cloud automation tools. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 471-473.
104. Manickavasagam, P., & Surwade, S.S. (2017, April). Cognitive, affective and conative model for analyzing higher education students. Advances in Smart Computing and Bioinformatics, Asian Journal of Pharmaceutical and Clinical Research, 1(1), 133-136.
105. Priyaadharshini, M., & Sundaram, B. V. (2017). Lifelong learning: analyzing behavioral models using cloud based flipped classroom. Journal of Computational and Theoretical Nanoscience, 14(1), 5770 – 5779.
106. Maheswari, R., Pattabiraman, V., & Sharmila, P. (2017). Reconfigurable FPGA based soft-core processor for SIMD applications. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 180-186.
107. Maheswari, R., & Pattabiraman, V. (2017). Improved reconfigurable hyper-pipeline soft-core processor on FPGA for SIMD. International Journal of High Performance Computing and Networking, 10(3), 207-217.
108. Vedika, B., & Quadir, M.A. (2017). Cryptographic techniques for secure key management in personnel cloud. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 369-72.
109. Pavithra, L., & Rekha, D. (2017, April). Internet of things – survey on research challenges. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 464-6.
110. Darisini, P.S., & Kumar, T.S.P., & Kumar, R. (2017). A survey on object tracking in wireless sensor networks for machine tool applications. International Journal of Mechanical Engineering and Technology, 8(12), 21–30.
111. Kumar, T.S.P., & Chitnis, S. (2017). Distance and hop based energy estimation in wireless sensor networks. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 85–89.
112. Rivankar, A., & Anusooya, G. (2017). Energy efficient load balancing for cloud data center. Asian Journal of Pharmaceutical and Clinical Research, 10(1),162-165.
113. Rani. S.U., & Neelanarayanan. V. (2017). A Review on patient-controlled analgesia infusion system. Asian Journal of Pharmaceutical and Clinical Research, 10(1), 117-121.
114. Rani. S.U., Ignatious, A., Hari, B. V. & Balavishnu, V. J. (2017). IoT patient health monitoring system. Indian Journal of Public Health Research & Development, 8( 4), 1329-1334.
115. Panjanathan, R., & Ramachandran, G. (2017). Enhanced low latency queuing algorithm with active queue management for multimedia applications in wireless networks, International Journal of High Performance Computing and Networking, 10(1-2), 23-33.
116. Rukmani, P., & Ganesan, R. (2017). Adaptive modified low latency queuing algorithm for real time traffic in WIMAX networks, Journal of Engineering Science and Technology, 12(9), 2551-2566.
117. V, K. D., and G. R. (2017, April). A generic trust management framework for heterogeneous sensors in cyber physical systems, Asian Journal of Pharmaceutical and Clinical Research, 10(13), 176-179.
118. Nisha, V.M., & Sajidha, S.A. (2017). Simulation of non deterministic cellular automata by boolean circuits. Research Journal of Pharmaceutical, Biological and Chemical Sciences, 8(1), 77-81.
119. Sasank, S., Nisha, V. M., Sajidha S. A., & Kumar, G.B. (2017). Urban growth modelling using cellular automata based classifier. International Journal of Civil Engineering and Technology, 8(12), 302-308.
120. Padmanabhan, S., Sumathi, V., & Ganapathy, S. (2017). Cloud based POS system for secured smart shopping CART using RFID. Journal of Advanced Research in Dynamical and Control Systems, 9(14), 2764-2777.
121. Anusha, K., & Sathiyamoorthy, E. (2017). MAM-ISSIDS: multi-agent model-based intelligent and self-sharing intrusion detection system for distributed network. International Journal of Information and Computer Security, 9(4), 361-386.
122. Anusha, K., & Sathiyamoorthy, E. (2017). A new trust-based mechanism for detecting intrusions in MANET. Information Security Journal, 26(4), 153-165.
123. Asha, S. (2017). An improved sleep detection and driver alert system using biometrics. Indian Journal of Public Health Research & Development, 8(4), 1307-1311.
124. Loganathan, S., Saravanan, R. D., & Mukherjee, S. (2017). Energy aware resource management and job scheduling in cloud datacenter. International Journal of Intelligent Engineering and Systems, 10(4), 175-184.
125. Saravanan, R. D., Loganathan, S., Shunmuganathan, S., & Palanichamy, Y. (2017). Suspicious Score Based Mechanism to Protect Web Servers against Application Layer Distributed Denial of Service Attacks. International Journal of Intelligent Engineering & Systems, 10(4), 147-156.
126. Fernandez, J. J., Pandian, N., Chavali, R., & Appalaghe, A. K. (2017). A novel image theft identification using biometric feature. Asian Journal of pharmaceutical and clinical research, special issue-April, 385-389.
127. Sudhakar, K., & Nithyanandam, P. (2017). An accurate facial component detection using Gabor filter. Bulletin of Electrical Engineering and Informatics, 6(3), 287-294.
128. Karmel, A. (2017). Multi-Level privacy preservation and transmission of medical records using cryptographic technique. International Journal of Applied Engineering Research, 12(17), 6735-6740.
129. A Karmel. (2017). Review of particle swarm optimization for energy management in mobile Ad Hoc networks, Journal of Engineering and Applied Sciences, 12 (22), 2017, 6042-6044
130. M Sasikomala, M., & Mayilvahanan, P. (2017). An empirical study of accident reportin data mining techniques. International Journal of Pure and Applied Mathematics, 116(24), 35-42.
131. Thiyagarajan, D., & Ganesan, R. (2017). Cryptographically imposed model for efficient multiple keyword-based search over encrypted data in cloud by secure index using bloom filter and false random bit generator. IJ Network Security, 19(3), 413-420.
132. Thiyagarajan, D., & Ganesan, R. (2017). User verifiable multiple keyword search scheme using the merkle tree for outsourced data in the cloud. International Journal Of Technology, 8(4), 591-600.
133. Bhargavi, R., Gumparthi, S. & Anith, R. (2017). Relative strength index for developing effective trading strategies in constructing optimal portfolio. International Journal of Applied Engineering Research, 12(19), 8926-8936.
134. Sriraman, H., & Venkatasubbu, P. (2017). On the field design bug tolerance on a multi-core processor using FPGA. International Journal of High Performance Computing and Networking, 10(1-2), 34-43.
135. Remesh, R. & Pattabiraman, V. (2017). A survey on the cures for the curse of dimensionality in big data. Asian Journal of Pharmaceutical and Clinical Research ,Special issue in Advances in Smart Computing and Bioinformatics, 1(1), 354-360.
136. Vignesh, U., & Parvathi, R. (2017). Clustering on structured proteins with filtering instances on Bioweka. J Eng Sci Technol, 12, 820-833.
137. Joshika., &Parvathi, R. (2017). A survey on business facilities analysis. Asian Journal of Pharamacutical and clinical research, 1(4),15-19.
138. Verghese, M. S., & Parvathi, R. (2017). A survey on usage analytics for imaging diagnostic equipments. Asian Journal of Pharmaceutical and clinical research, 1(4),c457-460.
139. Kamatchi, B., & Parvathi, R. (2017). Feature selection and yield prediction of rice crop using Ann. Journal of Advanced Research in Dynamical and Control Systems, 9(12), 546-553.
140. Priya, R,V. & Muralidhar, A. (2017). Facial emotion recognition using eye. International Journal of Applied Engineering Research , 12(16), 5655-5659.
141. Ilakiyaselvan, N., Abraham, J. V. T., & Muralidhar, A. (2017). Real-time driver fatigue or drowsiness detection system using face image stream. International Journal of Civil Engineering & Technology, 8 (1), 793-802.
142. Ashish, M., Kumar, S., & Muralidhar, A. (2017). Employee performance appraisal system based on ranking and reviews. Entropy, 1, 1.
143. Muralidhar, A., & Pattabiraman, V. (2017). Tabu search based fast high utility item set mining. Journal of Advanced Research in Dynamical and control Systems, 1(18), 3152 – 3164.
144. Kumar, J, S. & Maheswari, N. (2017), A survey on privacy preserving techniques for social network data’ Asian Journal of Pharmaceutical and Clinical Research,10(13), 112.
145. Jaganathan, S.K., & Maheswari, N. (2017). A survey on privacy-preserving techniques for social network data. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 112-116.
146. Sariki, T.P., & Manusmare, R.P.(2017). Xtreams toolkit ui development on microsoft WPF technology. Asian Journal of Pharmaceutical and Clinical Research, 10(13),449-452.
147. Ragala, R., & Venkataraman, R. (2017). A survey on churn analysis and prediction in video on demand. Asian Journal of Pharmaceutical and Clinical Research, 10(1S), 158-161.
148. En, P., & Kumar, B.G. (2017). Diabetic retinopathy image classification using deep neural network. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 461-463.
149. Pradeep, K.V., & Tudu, B.P. (2017). Secure and recoverable model to manage keys for cloud storage. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 109-111.
150. Manindra, T., & Pradeep. K.V. (2017, April). data compression technique for cloud storage in multi-user environments. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 82-84.
151. Pradeep.K.V., & Rakesh, T. (2017, April). Secure and recoverable split key management technique for cloud storage. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 109-111.
152. Shrivastava, P., & Kumar, G.B. (2017). Working of acontext-aware conversational entity. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 202-206.
153. Rajendran, V., & Kumar, G.B. (2017). Prosody prediction for tamil text-to-speech synthesizer using sentiment analysis. Asian Journal of Pharmaceutical and Clinical Research, 10(13),6-9.
154. SR, D., & V. Vijayakumar. (2017). A review on security enhancement through anonymous routing in manet”. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 166-170,
155. K, S., & V. Vijayakumar. (2017). Secured data aggregation methods in wireless sensor networks using homomorphic operation – a review. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 328-332.
156. Reshmi,TR., Anusha, K., Sumati, V., & Pandiyarajan, K.(2017,April) The IPv6 Resistance – A Survey, Asian Journal of Pharmaceutical and Clinical Research, 10(13),321-323.
157. Srivastav, A., & Chauhan, A. (2017). Social network data retrieval using semantic technology. Asian Journal of Pharmaceutical and Clinical Research, 10(13), 31- 35

158. Elavenil S, Jenila Livingston L.M. & K. Parameswari. (2017). Case Study on Illegal Sand Mining in Tamil Nadu: Alternate Solution by Replacing Natural Sand by M-Sand. International Journal of Mechanical and Production Engineering Research and Development (IJMPERD); ISSN (P): 2249-6890; ISSN (E): 2249-8001; Vol. 7, Issue 6, pp 279-284.
159. Jaimin Maniyar & Jenila Livingston L.M. (2017, Apr). Personalized Virtual School Environment Using Classifier Algorithm and Semantic Advisor-Assisting Framework. Asian Journal of Pharmaceutical and Clinical Research, ISSN 0974-2441, pp 105-108.

160 Vijaylakshmi S., Priyadarshini J. “Breast cancer classification using RBF and BPN neural networks”, International Journal of Applied Engineering Research, Volume 12, Number 15 (2017) pp. 4775-4781.
161. Maya RathnasabapathyGeetaAtkar, Priyadarshini J.“Review on Advanced Machine Learning Techniques for Solving Problem of Dyslexia in children” International Journal of Engineering Technology Science and Research, Volume: 4, Issue: 8 (2017), 663 – 666

162. Gorai, K. P., and T. Abraham. “A GAUSSIAN MIXTURE MODEL-BASED SPEAKER RECOGNITION SYSTEM”. Asian Journal of Pharmaceutical and Clinical Research, Vol. 10, no. 13, pp. 140-142, Apr 2017.

Year 2016

1. Prathilothamai, M., Devi, M.M., & Viswanathan, V. (2015). Identification of threat to public life by classifying NEWS RSS Feeds, International Journal of Applied Engineering Research, 10(13), 33859-33862.
2. Kumar, B.S., & Krishnamurthi, I. (2015). Capturing architecturally significant requirements using architect’s use case diagram. International Journal of Applied Engineering Research, 10(6), 13921-13943.
3. Sathis Kumar, B., & Krishnamuthi, I. (2015). CloudASR an android application for capturing architecturally significant requirements visually in cloud computing applications using platform as service. Int. J. Appl. Eng. Res, 10(5), 13505-13514.
4. Saleena, B., & Srivatsa, S.K. (2015). Concept similarity for cross ontology in adaptive e-learning systems. Journal of King Saud University–Computer and Information sciences, 27(1),1-12.
5. Koteswari, C., & Saleena, B. (2015). Context based ranking of web database based on user query search. International Journal of Applied Engineering and Research, 10(11), 29717-29724.
6. Maulik Parekh, D., & Saleena, B. (2015). Designing a cloud based framework for healthcare system and applying clustering techniques for region wise diagnosis. Procedia Computer Science, 50, 537-542.
7. Umamaheswari, E., & Ghosh, D.K. (2015, March). Radial basis function neural networks for software engineering measures –a survey. ARPN Journal of Engineering and Applied Sciences, 10(5), 2027-2032.
8. Umamaheswari, E., Ghosh, D.K. & Bhalaji, N. (2015, March). Evaluating metrics at class and method level for java programs using knowledge based systems. ARPN Journal of Engineering and Applied Sciences, 10(5), 2047-2052 .
9. Umamaheswari, E. (2015, September). Cloud testing vs. conventional software testing over a web service, International Journal of Scientific Research, 4(9). 583-586.
10. Maheswari, S., & Selwyn, J. (2015). Assessing the behaviour of web services using finite states. International Journal of Information Engineering and Electronic Business, 7(4), 31.
11. Balavignesh, G., Qumar, S.M., & Premalatha, M. (2015).Policy assessment system: a smart approach to assess national policies of developing countries. International Journal of Applied Engineering Research, 10(34), 27220-27225.
12. Mabel, V.H., & Selwyn, J. (2015, December). Performance assessment of 3-layered knowledgebase and representation models: an empirical study. International Journal of Knowledge Engineering and Data Mining, 3(4), 239-254.
13. Ramesh, P.R., & Selwyn, J. (2015, July). Chords suggestion algorithm using jusic distance for music knowledgebase. International Journal of Computer and Modern Technology, 2(2), 1.
14. Kharde, D. N., & Selwyn, J. (2015). A knowledge acquisition model using multi-agents for KaaS. International Journal of Computer and Information Engineering, 9(2), 521-525.
15. Singh, R. K., & Sivabalakrishnan, M. (2015). Feature selection of gene expression data for cancer classification: a review. Procedia Computer Science, 50(1), 52-57.
16. Merry, K. P., Singh, R. K., & Kumar, S. S. (2012). Apriori-hybrid algorithm as a tool for colon cancer microarray data classification. International Journal of Engineering Research and Development, 4(1), 53-57.
17. Bhargavi, R., & Gumparthi, S. (2015). Credit risk management model optimization using complex event processing. International Journal of Applied Engineering Research, 10(3), 6353-6362.
18. Hussain, S.H., Geetha, S., & Prabakar, M.A. (2015). Listing past, current, and upcoming research in ubiquitous computing – a review. International Journal of Applied Engineering Research, 10(55), 2142-2145.
19. Sivakumar, T.B., Geetha, S., & Prabakar, M.A. (2015). Role based access control policy in secure sharing healthcare data using multi cloud. International Journal of Applied Engineering Research, 10(55), 2302-2307.
20. Seema, S.S., Maheswari, M., Selvakumar, S., & Geetha, S. (2015). Reckoning trust in e-commerce by mining product reviews. International Journal of Applied Engineering Research, 10(55), 1875-1879.
21. Chitra, P.K.A., SA alias Balamurugan., & Geetha, S. (2015). Modeling and analysis of multi label classification algorithms. International Journal of Applied Engineering Research, 10(55), 1116-1121.
22. Nirmala, G., Geetha, S., & Selvakumar, S. (2015). Optimal long run cost path of mobile robot navigation using qlearning algorithm. International Journal of Applied Engineering Research, 10(9), 6867-6870.
23. Jasmine, G. S., & Pattabiraman, V. (2015). Hyperspectral image analysis using end member extraction algorithm. Int. J. Pure Appl. Math, 101, 809-829.
24. Gayathri, A. U., & Sivabalakrishnan, D. (2015, March). Face and foreground and background detection estimation using adaptive based algorithm in real time video’s, International Journal of Advanced Research in Computer and Communication Engineering, 4(3), 617-620.
25. Sivabalakrishnan, M., & Shanthi, K. (2015). Person Counting System Using EFV Segmentation and Fuzzy Logic. Procedia Computer Science, 50, 572-578.
26. Vignesh, R., & Sivabalakrishnan, M . (2015). a comparative study on blur families and their algorithmic applications methods to make an image restoration by image deblurring. International Journal of Scientific Progress and Research (IJSPR), 11(1), 8-11.
27. Sivagami, M., Revathi, T., & Jeganathan, L. (2015). Object detection with a hard shadow removal in a still image, International Journal of Applied Engineering and Research, 10(34), 27153-27157.
28. Malathi, G. (2015, July). Image fusion techniques for the assessment of multi-focus ultrasound placenta using quality metrics. International Journal of Applied Engineering Research, 10(12), 30761-30774.
29. Vijayalakshmi, A., & Kanna, B.R. (2015). Enhanced quality of service in visualizing the malaria data using cloud computing. ARPN Journal of Engineering and Applied Sciences, 10(5), 2061-2065.
30. Rajkumar, S., & Malathi, G. (2015). A novel approach for the recovery of de-focussed color images. International Journal on Recent Researches In Science ,Engineering & Technology, 5(3), 1.
31. Jackson, C., Vijayakumar, V., Subramaniyaswamy, V., & Anusooya, G. (2006). An insight on reputation based incentive scheme and throughput feedback routing in MANET’S. ARPN Journal of Engineering and Applied Sciences 10 (5), 1988-1992.
32. Rukmani, P., & Ganesan, R. (2015). Modified low latency queuing algorithm for real time applications in WIMAX networks. International Journal of Pure and Applied Mathematics, 101(5), 915-924.
33. Chauhan, A., Vijayakumar, V., Vincent, R., & Pradeep, K. V. (2015). Towards the Development of a Framework for Socially Responsible Software by Analyzing Social Media Big Data on Cloud Through Ontological Engineering. Procedia Computer Science, 50(1), 524-530.
34. Vetrivelan, P., Maharajan, S. S., Narayanasamy, P., Koushik, C. P., Ratheesh, R., & Kumar, T. P. (2015). Vertical handover and video streaming over cloud in 4g heterogeneous overlay wireless networks. International Journal of Engineering and Technology (IJET), 7(5). 1537-1547.
35. Srinivasan, A., Quadir, M. A., & Vijayakumar, V. (2015). Hybrid cloud for educational sector. Procedia Computer Science, 50, 37-41.
36. Srinivasan, A., Quadir, M. A., & Vijayakumar, V. (2015). Era of cloud computing: a new insight to hybrid cloud. Procedia Computer Science, 50, 42-51.
37. Maheswari, R., & Pattabiraman, V. (2015). Performance analysis of reconfigurable open soft core processor-or1200 with global hazard controller. International Journal of Pure and Applied Mathematics, 101(5), 849-858.
38. Priyaadharshini, M., & Sundaram, B.V. (2015). Teaching and Learning as a Service (TLaaS). International Journal of Applied Engineering Research, 10(34), 27183-27188.
39. Sarobin, M. V. R., & Ganesan, R. (2015). Swarm intelligence in wireless sensor networks: a survey. Int. J. Pure Appl. Math, 101(5), 773-807.
40. Prassanna, J., Punitha, K., & Neelanarayanan, V. (2015). Towards an Analysis of Data Accountability and Auditing for Secure Cloud Data Storage. Procedia Computer Science, 50(1), 543-550.
41. Vijaya, A., & Neelanarayanan, V. (2015). A model driven framework for portable cloud services: Proof of concept implementation. International Journal of Education and Management Engineering, 5(4), 27.
42. Rani. S.U., & Neelanarayanan V. (2015). Interoperable framework solutions to ICU health care monitoring. ICTACT Journal on Communication Technology, 6(1),1072-1079.
43. Karthikeyan, G.K., Jayachandran, J., & Neelanarayanan, V. (2015). Energy aware network scheduling for a data center. International Journal of Big Data Intelligence, Special Issue on: Big Data and Cloud Computing Challenges, 2(1), 37-44.
44. Kempanna, M., & Kannan, R. J. (2015). Anfis Based Multilayered Botnet Detection with Traffic Reduction Technique. Middle-East Journal of Scientific Research, 23(3), 426-431.
45. Shiny, X. A., & Kannan, R. J. (2015). Energy Efficient Clustering Protocol using Self Organizing Map in MANET. Indian Journal of Science and Technology, 8(28), 1.
46. Shiny, X.S.A., & Kannan, R.J. (2015). A novel multicast routing protocol based on SOM to minimize energy consumption in MANETs. International Journal of Applied Engineering Research (IJAER), 10(19), 39885-39890.
47. Arumugam, S., Jayaram, B., & Thulasiraman, K. (2015). Independent dominator sequence number of a graph. Procedia Computer Science, 74, 43-46.
48. Vignesh, U., & Asha, S. (2015). Modifying security policies towards BYOD. Procedia Computer Science, 50, 511-516.
49. Devi, T., & Ganesan, R. (2015). Platform-as-a-Service (PaaS): model and security issues. TELKOMNIKA Indonesian Journal of Electrical Engineering, 15(1), 151-161.
50. Devi, T., & Ganesan, R. (2015). Present, past and future challenges in cloud computing, International Journal of Applied Engineering Research, 10(44), 30735-30739.
51. Thiyagarajan, D., & Ganesan, R. (2015). Data Security Model Employing Hyperelliptic Curve Cryptography (HECC) and Secure Hash Algorithm-3 (SHA-3) in Cloud Computing. International Journal of Technology, 3, 327-335.
52. Suresh, K., & Pattabiraman, V. (2015), Investigation on ARM algorithm with incremental mining and proposing a new algorithm for streaming dataset”, Australian Journal of Basic and Applied Sciences, 9(6), 72-76.
53. Suresh, K., & Pattabiraman, V. (2015). An Improved Utility Itemsets Mining With Respect To Positive And Negative Values Using Mathematical Model. International Journal of Pure and Applied Mathematics, 101(5), 763-772.
54. Muralidhar, A., & Pattabiraman, V. (2015). An efficient association rule based clustering of XML documents. Procedia Computer Science, 50, 401-407.
55. Harini, S., & Pattabiraman, V. (2015). Hybrid multi-core Asic architecture with FPGA for self-repairing of hard faults. Int. J. Pure Appl. Math, 101(8), 905-914.
56. Rosaline, R. A. A., & Parvathi, R. (2010). Performance analysis of various text classification algorithms. Int. J. Pure Appl. Math, 101(5), 625-634.
57. Rekha, J. H., & Parvathi, R. (2015). Survey on software project risks and big data analytics. Procedia Computer Science, 50, 295-300.
58. Mary, S,A., & Suganya, G. (2015). Requirements prioritization – stakeholder identification and participation. International Journal of Applied Engineering Research, 10(34), 27230-27233.
59. Kumar, J.S., & Maheswari, N. (2015), A framework for security in data mining using intelligent agents. ARPN Journal of Engineering and Applied Sciences, 10(6), 2551–2560.
60. Maheswari N. & Kumar, J. S. (2015). A framework for security in data mining using intelligent agents. ARPN Journal of Engineering and Applied Sciences,10(6),1.
61. Chauhan, A., Vijayakumar, V., & Ragala, R. (2015). Towards a Multi-level Upper Ontology/foundation Ontology Framework as Background Knowledge for Ontology Matching Problem. Procedia Computer Science, 50, 631-634.
62. Nujella, S., & Pradeep, K. V. (2015). Supervisory service for cloud infrastructure and services. International Journal of Applied Engineering Research,10(55), 2866-2870.
63. Rajendran, V., & Kumar, G. B. (2015). Text processing for developing unrestricted Tamil text to speech synthesis system. Indian Journal of Science and Technology, 8(29), 112-124.
64. Kumar, B. (2015). An encyclopedic overview of big data analytics. International Journal of Applied Engineering Research,10(3), 5681-5705.
65. Subramaniyaswamy, V., Vijayakumar, V., Logesh, R., & Indragandhi, V. (2015). Unstructured data analysis on big data using map reduce. Procedia Computer Science, 50, 456-465.
66. Subramaniyaswamy, V., Vijayakumar, V., Logesh, R., & Indragandhi, V. (2015). Intelligent travel recommendation system by mining attributes from community contributed photos. Procedia Computer Science, 50, 447-455.
67. Va, S., Rb, L., Vc, V., & Vd, I. (2015). Automated message filtering system in online social network. Procedia Computer Science, 50, 466-475.
68. Jackson, J. C., Vijayakumar, V., Quadir, M. A., & Bharathi, C. (2015). Survey on programming models and environments for cluster, cloud, and grid computing that defends big data. Procedia Computer Science, 50, 517-523.
69. Bharathi, C., Vijayakumar, V., & Pradeep, K. V. (2015). An extended trust management scheme for location based real-time service composition in secure cloud computing. Procedia Computer Science, 50, 103-108.
70. Durgalakshmi, B., & Vijayakumar, V. (2015). Progonosis and modelling of breast cancer and its growth novel naïve bayes. Procedia Computer Science, 50, 551-553.
71. Pradeep, K. V., & Vijayakumar, V. (2015). Survey on the key management for securing the cloud. Procedia Computer Science, 50, 115-121.
72. Anitha, R., & Vijayakumar, V. (2015). Homomorphic Encryption Based Data Security on Federated Cloud Computing‖. ARPN Journal of Engineering and Applied Sciences, 10(5).

73. Satapathy A. & Jenila Livingston L.M. (2016). A Comprehensive Survey of Security Issues and Defense Framework for VoIP cloud. Indian Journal of Science and Technology, ISSN 0974-6846, Vol. 9, Issue 6, Pp-1-13.

74.  Raamakirtinan S. & Jenila Livingston L.M. (2016, March). Identifying Influential Users in Facebook – A Sentiment Based Approach. Indian Journal of Science and Technology, ISSN 0974-6846, Vol. 9, Issue 10, Pp-1-9.

75.  D.sudha and J. Priayadarshini“A Review on Multiple Vehicle Detection and Tracking in Dynamic Environment”, International Journal of Control Theory and Applications, pp 93-98, Volume: 9, Issue: 3, 2016.
76.  Vijaylakshmi S., Priyadarshini J. “An Analysis of Particle Swarm Optimization Technique for Breast Cancer Dataset”, International Journal of Control Theory and Applications, pp 297-308, Volume: 9, Issue: 3, 2016.

Year 2015

1. Prathilothamai, M., Devi, M.M., & Viswanathan, V. (2015). Identification of threat to public life by classifying NEWS RSS Feeds, International Journal of Applied Engineering Research, 10(13), 33859-33862.
2. Kumar, B.S., & Krishnamurthi, I. (2015). Capturing architecturally significant requirements using architect’s use case diagram. International Journal of Applied Engineering Research, 10(6), 13921-13943.
3. Sathis Kumar, B., & Krishnamuthi, I. (2015). CloudASR an android application for capturing architecturally significant requirements visually in cloud computing applications using platform as service. Int. J. Appl. Eng. Res, 10(5), 13505-13514.
4. Saleena, B., & Srivatsa, S.K. (2015). Concept similarity for cross ontology in adaptive e-learning systems. Journal of King Saud University–Computer and Information sciences, 27(1),1-12.
5. Koteswari, C., & Saleena, B. (2015). Context based ranking of web database based on user query search. International Journal of Applied Engineering and Research, 10(11), 29717-29724.
6. Maulik Parekh, D., & Saleena, B. (2015). Designing a cloud based framework for healthcare system and applying clustering techniques for region wise diagnosis. Procedia Computer Science, 50, 537-542.
7. Umamaheswari, E., & Ghosh, D.K. (2015, March). Radial basis function neural networks for software engineering measures –a survey. ARPN Journal of Engineering and Applied Sciences, 10(5), 2027-2032.
8. Umamaheswari, E., Ghosh, D.K. & Bhalaji, N. (2015, March). Evaluating metrics at class and method level for java programs using knowledge based systems. ARPN Journal of Engineering and Applied Sciences, 10(5), 2047-2052 .
9. Umamaheswari, E. (2015, September). Cloud testing vs. conventional software testing over a web service, International Journal of Scientific Research, 4(9). 583-586.
10. Maheswari, S., & Selwyn, J. (2015). Assessing the behaviour of web services using finite states. International Journal of Information Engineering and Electronic Business, 7(4), 31.
11. Balavignesh, G., Qumar, S.M., & Premalatha, M. (2015).Policy assessment system: a smart approach to assess national policies of developing countries. International Journal of Applied Engineering Research, 10(34), 27220-27225.
12. Mabel, V.H., & Selwyn, J. (2015, December). Performance assessment of 3-layered knowledgebase and representation models: an empirical study. International Journal of Knowledge Engineering and Data Mining, 3(4), 239-254.
13. Ramesh, P.R., & Selwyn, J. (2015, July). Chords suggestion algorithm using jusic distance for music knowledgebase. International Journal of Computer and Modern Technology, 2(2), 1.
14. Kharde, D. N., & Selwyn, J. (2015). A knowledge acquisition model using multi-agents for KaaS. International Journal of Computer and Information Engineering, 9(2), 521-525.
15. Singh, R. K., & Sivabalakrishnan, M. (2015). Feature selection of gene expression data for cancer classification: a review. Procedia Computer Science, 50(1), 52-57.
16. Merry, K. P., Singh, R. K., & Kumar, S. S. (2012). Apriori-hybrid algorithm as a tool for colon cancer microarray data classification. International Journal of Engineering Research and Development, 4(1), 53-57.
17. Bhargavi, R., & Gumparthi, S. (2015). Credit risk management model optimization using complex event processing. International Journal of Applied Engineering Research, 10(3), 6353-6362.
18. Hussain, S.H., Geetha, S., & Prabakar, M.A. (2015). Listing past, current, and upcoming research in ubiquitous computing – a review. International Journal of Applied Engineering Research, 10(55), 2142-2145.
19. Sivakumar, T.B., Geetha, S., & Prabakar, M.A. (2015). Role based access control policy in secure sharing healthcare data using multi cloud. International Journal of Applied Engineering Research, 10(55), 2302-2307.
20. Seema, S.S., Maheswari, M., Selvakumar, S., & Geetha, S. (2015). Reckoning trust in e-commerce by mining product reviews. International Journal of Applied Engineering Research, 10(55), 1875-1879.
21. Chitra, P.K.A., SA alias Balamurugan., & Geetha, S. (2015). Modeling and analysis of multi label classification algorithms. International Journal of Applied Engineering Research, 10(55), 1116-1121.
22. Nirmala, G., Geetha, S., & Selvakumar, S. (2015). Optimal long run cost path of mobile robot navigation using qlearning algorithm. International Journal of Applied Engineering Research, 10(9), 6867-6870.
23. Jasmine, G. S., & Pattabiraman, V. (2015). Hyperspectral image analysis using end member extraction algorithm. Int. J. Pure Appl. Math, 101, 809-829.
24. Gayathri, A. U., & Sivabalakrishnan, D. (2015, March). Face and foreground and background detection estimation using adaptive based algorithm in real time video’s, International Journal of Advanced Research in Computer and Communication Engineering, 4(3), 617-620.
25. Sivabalakrishnan, M., & Shanthi, K. (2015). Person Counting System Using EFV Segmentation and Fuzzy Logic. Procedia Computer Science, 50, 572-578.
26. Vignesh, R., & Sivabalakrishnan, M . (2015). a comparative study on blur families and their algorithmic applications methods to make an image restoration by image deblurring. International Journal of Scientific Progress and Research (IJSPR), 11(1), 8-11.
27. Sivagami, M., Revathi, T., & Jeganathan, L. (2015). Object detection with a hard shadow removal in a still image, International Journal of Applied Engineering and Research, 10(34), 27153-27157.
28. Malathi, G. (2015, July). Image fusion techniques for the assessment of multi-focus ultrasound placenta using quality metrics. International Journal of Applied Engineering Research, 10(12), 30761-30774.
29. Vijayalakshmi, A., & Kanna, B.R. (2015). Enhanced quality of service in visualizing the malaria data using cloud computing. ARPN Journal of Engineering and Applied Sciences, 10(5), 2061-2065.
30. Rajkumar, S., & Malathi, G. (2015). A novel approach for the recovery of de-focussed color images. International Journal on Recent Researches In Science ,Engineering & Technology, 5(3), 1.
31. Jackson, C., Vijayakumar, V., Subramaniyaswamy, V., & Anusooya, G. (2006). An insight on reputation based incentive scheme and throughput feedback routing in MANET’S. ARPN Journal of Engineering and Applied Sciences 10 (5), 1988-1992.
32. Rukmani, P., & Ganesan, R. (2015). Modified low latency queuing algorithm for real time applications in WIMAX networks. International Journal of Pure and Applied Mathematics, 101(5), 915-924.
33. Chauhan, A., Vijayakumar, V., Vincent, R., & Pradeep, K. V. (2015). Towards the Development of a Framework for Socially Responsible Software by Analyzing Social Media Big Data on Cloud Through Ontological Engineering. Procedia Computer Science, 50(1), 524-530.
34. Vetrivelan, P., Maharajan, S. S., Narayanasamy, P., Koushik, C. P., Ratheesh, R., & Kumar, T. P. (2015). Vertical handover and video streaming over cloud in 4g heterogeneous overlay wireless networks. International Journal of Engineering and Technology (IJET), 7(5). 1537-1547.
35. Srinivasan, A., Quadir, M. A., & Vijayakumar, V. (2015). Hybrid cloud for educational sector. Procedia Computer Science, 50, 37-41.
36. Srinivasan, A., Quadir, M. A., & Vijayakumar, V. (2015). Era of cloud computing: a new insight to hybrid cloud. Procedia Computer Science, 50, 42-51.
37. Maheswari, R., & Pattabiraman, V. (2015). Performance analysis of reconfigurable open soft core processor-or1200 with global hazard controller. International Journal of Pure and Applied Mathematics, 101(5), 849-858.
38. Priyaadharshini, M., & Sundaram, B.V. (2015). Teaching and Learning as a Service (TLaaS). International Journal of Applied Engineering Research, 10(34), 27183-27188.
39. Sarobin, M. V. R., & Ganesan, R. (2015). Swarm intelligence in wireless sensor networks: a survey. Int. J. Pure Appl. Math, 101(5), 773-807.
40. Prassanna, J., Punitha, K., & Neelanarayanan, V. (2015). Towards an Analysis of Data Accountability and Auditing for Secure Cloud Data Storage. Procedia Computer Science, 50(1), 543-550.
41. Vijaya, A., & Neelanarayanan, V. (2015). A model driven framework for portable cloud services: Proof of concept implementation. International Journal of Education and Management Engineering, 5(4), 27.
42. Rani. S.U., & Neelanarayanan V. (2015). Interoperable framework solutions to ICU health care monitoring. ICTACT Journal on Communication Technology, 6(1),1072-1079.
43. Karthikeyan, G.K., Jayachandran, J., & Neelanarayanan, V. (2015). Energy aware network scheduling for a data center. International Journal of Big Data Intelligence, Special Issue on: Big Data and Cloud Computing Challenges, 2(1), 37-44.
44. Kempanna, M., & Kannan, R. J. (2015). Anfis Based Multilayered Botnet Detection with Traffic Reduction Technique. Middle-East Journal of Scientific Research, 23(3), 426-431.
45. Shiny, X. A., & Kannan, R. J. (2015). Energy Efficient Clustering Protocol using Self Organizing Map in MANET. Indian Journal of Science and Technology, 8(28), 1.
46. Shiny, X.S.A., & Kannan, R.J. (2015). A novel multicast routing protocol based on SOM to minimize energy consumption in MANETs. International Journal of Applied Engineering Research (IJAER), 10(19), 39885-39890.
47. Arumugam, S., Jayaram, B., & Thulasiraman, K. (2015). Independent dominator sequence number of a graph. Procedia Computer Science, 74, 43-46.
48. Vignesh, U., & Asha, S. (2015). Modifying security policies towards BYOD. Procedia Computer Science, 50, 511-516.
49. Devi, T., & Ganesan, R. (2015). Platform-as-a-Service (PaaS): model and security issues. TELKOMNIKA Indonesian Journal of Electrical Engineering, 15(1), 151-161.
50. Devi, T., & Ganesan, R. (2015). Present, past and future challenges in cloud computing, International Journal of Applied Engineering Research, 10(44), 30735-30739.
51. Thiyagarajan, D., & Ganesan, R. (2015). Data Security Model Employing Hyperelliptic Curve Cryptography (HECC) and Secure Hash Algorithm-3 (SHA-3) in Cloud Computing. International Journal of Technology, 3, 327-335.
52. Suresh, K., & Pattabiraman, V. (2015), Investigation on ARM algorithm with incremental mining and proposing a new algorithm for streaming dataset”, Australian Journal of Basic and Applied Sciences, 9(6), 72-76.
53. Suresh, K., & Pattabiraman, V. (2015). An Improved Utility Itemsets Mining With Respect To Positive And Negative Values Using Mathematical Model. International Journal of Pure and Applied Mathematics, 101(5), 763-772.
54. Muralidhar, A., & Pattabiraman, V. (2015). An efficient association rule based clustering of XML documents. Procedia Computer Science, 50, 401-407.
55. Harini, S., & Pattabiraman, V. (2015). Hybrid multi-core Asic architecture with FPGA for self-repairing of hard faults. Int. J. Pure Appl. Math, 101(8), 905-914.
56. Rosaline, R. A. A., & Parvathi, R. (2010). Performance analysis of various text classification algorithms. Int. J. Pure Appl. Math, 101(5), 625-634.
57. Rekha, J. H., & Parvathi, R. (2015). Survey on software project risks and big data analytics. Procedia Computer Science, 50, 295-300.
58. Mary, S,A., & Suganya, G. (2015). Requirements prioritization – stakeholder identification and participation. International Journal of Applied Engineering Research, 10(34), 27230-27233.
59. Kumar, J.S., & Maheswari, N. (2015), A framework for security in data mining using intelligent agents. ARPN Journal of Engineering and Applied Sciences, 10(6), 2551–2560.
60. Maheswari N. & Kumar, J. S. (2015). A framework for security in data mining using intelligent agents. ARPN Journal of Engineering and Applied Sciences,10(6),1.
61. Chauhan, A., Vijayakumar, V., & Ragala, R. (2015). Towards a Multi-level Upper Ontology/foundation Ontology Framework as Background Knowledge for Ontology Matching Problem. Procedia Computer Science, 50, 631-634.
62. Nujella, S., & Pradeep, K. V. (2015). Supervisory service for cloud infrastructure and services. International Journal of Applied Engineering Research,10(55), 2866-2870.
63. Rajendran, V., & Kumar, G. B. (2015). Text processing for developing unrestricted Tamil text to speech synthesis system. Indian Journal of Science and Technology, 8(29), 112-124.
64. Kumar, B. (2015). An encyclopedic overview of big data analytics. International Journal of Applied Engineering Research,10(3), 5681-5705.
65. Subramaniyaswamy, V., Vijayakumar, V., Logesh, R., & Indragandhi, V. (2015). Unstructured data analysis on big data using map reduce. Procedia Computer Science, 50, 456-465.
66. Subramaniyaswamy, V., Vijayakumar, V., Logesh, R., & Indragandhi, V. (2015). Intelligent travel recommendation system by mining attributes from community contributed photos. Procedia Computer Science, 50, 447-455.
67. Va, S., Rb, L., Vc, V., & Vd, I. (2015). Automated message filtering system in online social network. Procedia Computer Science, 50, 466-475.
68. Jackson, J. C., Vijayakumar, V., Quadir, M. A., & Bharathi, C. (2015). Survey on programming models and environments for cluster, cloud, and grid computing that defends big data. Procedia Computer Science, 50, 517-523.
69. Bharathi, C., Vijayakumar, V., & Pradeep, K. V. (2015). An extended trust management scheme for location based real-time service composition in secure cloud computing. Procedia Computer Science, 50, 103-108.
70. Durgalakshmi, B., & Vijayakumar, V. (2015). Progonosis and modelling of breast cancer and its growth novel naïve bayes. Procedia Computer Science, 50, 551-553.
71. Pradeep, K. V., & Vijayakumar, V. (2015). Survey on the key management for securing the cloud. Procedia Computer Science, 50, 115-121.
72. Anitha, R., & Vijayakumar, V. (2015). Homomorphic Encryption Based Data Security on Federated Cloud Computing‖. ARPN Journal of Engineering and Applied Sciences, 10(5).

73. Senjaliya Mudra & Jenila Livingston L.M. (2015, June). Automatize Content Personalization by Agents in Digital Learning of Java Course. International Journal of Applied Engineering Research, ISSN 0973-4562, Vol.10, Issue 9, Pp- 23063-23071.
74. D.sudha and J. Priayadarshini“Intelligent Multiple Vehicular Detection and Tracking Using Haar and Filtering Techniques in Dynamic Environment with Occlusion Handling and Collision Avoidance” , International Journal of Applied Engineering Research, Vol.10, No. 20, 2015.

75. Vijaylakshmi S., Priyadarshini J. “Big Data Analysis Based on Mathematical model: A Comprehensive Survey”, ARPN Journal of Engineering and Applied Sciences, Vol.10, No.5, March 2015.

76. D.sudha and J. Priyadarshini“Reducing semantic gap in video retrieval with fusion: A Survey”, 2 nd International Symposium on Big Data and Cloud computing (ISBCC’15), Elsevier Procedia Computer Science 50(2015) 496-502.

77. D.sudha and J. S Vennila, J Priyadarshini”Scalable Privacy Preservation in Big Data: A Survey”, 2 nd International Symposium on Big Data and Cloud computing (ISBCC’15), Elsevier Procedia Computer Science 50(2015) 369-373.

78. Priyadarshini J Aravind B, Ajay S“Virtualizing Electrical Appliances and Gadgets Input with Human Gestures”, 2 nd International Symposium on Big Data and Cloud computing (ISBCC’15), Elsevier Procedia Computer Science 50(2015) 503-510.

79. D.sudha and J. Priayadarshini“Intelligent Multiple Vehicular Detection and Tracking Using Haar and Filtering Techniques in Dynamic Environment with Occlusion Handling and Collision Avoidance”, International Journal of Applied Engineering Research, pp 41570-41574, Volume: 10, Issue: 20, 2015.

Year 2014

1. R. Jagadeesh Kannan, M.Kempanna, (2014). A Back Propagation Based Botnet Detection Algorithm for Enhanced Network Security. Journal of Theoretical and Applied Information Technology, 65(2), 499- 503.
2. Saleena, B., & Srivatsa, S. K. (2014). An automated approach to extract domain ontology for an e-learning system. International journal of innovation and learning, 15(3), 254-273.
3. Saleena, B., & Srivatsa, S. K. (2014). Designing a novel cross ontology measure to extract resources from knowledge base for an adaptive e–learning system. International Journal of Metadata, Semantics and Ontologies, 9(3), 193-203.
4. Poongodi, M., & Bose, S. (2014). A firegroup mechanism to provide intrusion detection and prevention system against DDoS attack in collaborative clustered networks. International Journal of Information Security and Privacy (IJISP), 8(2), 1-18.
5. Fathima, A. A., Vasuhi, S., Babu, N. T., Vaidehi, V., & Treesa, T. M. (2014). Fusion Framework for Multimodal Biometric Person Authentication System. IAENG International Journal of Computer Science, 41(1).
6. Ganapathy, K., Vaidehi, V., Kannan, B., & Murugan, H. (2014). Hierarchical particle swarm optimization with ortho-cyclic circles. Expert systems with applications, 41(7), 3460-3476.