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)
80. Paulraj D., Sethukarasi T., Neelakandan S., Prakash M., Baburaj E. An Efficient Hybrid Job Scheduling Optimization (EHJSO) approach to enhance resource search using Cuckoo and Grey Wolf Job Optimization for cloud environment PLoS ONE, 2023, (IF: 752)
81. Sangapu S.C., Prasad K.S.N., Kannan R.J., Chen T.M., Sathiyanarayanan M Impact of class imbalance in VeReMi dataset for misbehavior detection in autonomous vehicles Soft Computing , 2023, (IF: 732)
82. Thilagavathy R., Renjith P.N., Lalitha R.V.S., Murthy M.Y.B., Sucharitha Y., Narayanan S.L. A novel framework paradigm for EMR management cloud system authentication using blockchain security network Soft Computing, 2023, (IF: 732)
83. Thomas Abraham J.V., Muralidhar A., Sathyarajasekaran K., Ilakiyaselvan N. A Deep-Learning Approach for Identifying and Classifying Digestive Diseases Symmetry , 2023, (IF: 94)
84. Illakiya T., Karthik R. Automatic Detection of Alzheimer’s Disease using Deep Learning Models and Neuro-Imaging: Current Trends and Future Perspectives Neuroinformatics, 2023, (IF: 864)
85. Ganesh N., Shankar R., Čep R., Chakraborty S., Kalita K Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algorithm Applied Sciences (Switzerland) , 2023, (IF: 838)
86. Alphonse A.S., Abinaya S., Arikumar K.S. A Novel Monogenic Sobel Directional Pattern (MSDP) and Enhanced Bat Algorithm-Based Optimization (BAO) with Pearson Mutation (PM) for Facial Emotion Recognition  Electronics (Switzerland), 2023,     (IF: 69)
87. Srihari P., Santosh V., Ganapathy S. An epileptic seizures diagnosis system using feature selection, fuzzy temporal naive Bayes and T-CNN Multimedia Tools and Applications, 2023, (IF: 577)
88. Afiya S., Rajesh M MinLA of (K9-C9)n and its optimal layout into certain trees Journal of Supercomputing, 2023, (IF: 557)
89. Vyas A., Parnami A., Prusty M.R. Graph theory-based mathematical modeling and analysis to predict a football dream team Knowledge and Information Systems, 2023, (IF: 531)
90. Kavitha A., Guravaiah K., Leela Velusamy R., Suseela S., Kumar D., V DR-NAP: Data reduction strategy using neural adaptation phenomenon in wireless sensor networks International Journal of Communication Systems, 2023, (IF: 882)
91. Shaik A., Masilamani V. Zero watermarking scheme for privacy protection in e-Health care Automatika, 2023, (IF: 1.79)
92. S V., N.G. B.A., Baik N. Detection of DoS Attacks in Smart City Networks with Feature Distance Maps: A Statistical Approach, IEEE Internet of Things Journal, 2023              (IF: 10.238)
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)
95. 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)
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)
98. Balasundaram A., Kavitha M.S., Pratheepan Y., Akshat D., Kaushik M.V        A Foreground Prototype-Based One-Shot Segmentation of Brain Tumors      Diagnostics, 2023 (IF:3.992)
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)
100. 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)
101. 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)
102. H S., Venkataraman N. Proactive Fault Prediction of Fog Devices Using LSTM-CRP, Conceptual Framework for IoT Applications      Sensors, 2023 (IF: 3.847)
103. 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)
104. 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)
105. Shukla M., Kumar A.       An Experimental Analysis of Deep Neural Network Based Classifiers for Sentiment Analysis Task, IEEE Access, 2023 (IF 3.476)
106. 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)
107. Rajeshwari S., Rajesh M. On Optimal Embeddings in 3-Ary n-Cubes, Mathematics, 2023 (IF: 2.592)
108. Abinaya S., Indira K., Karthiga S., Rajasenbagam T. Time Cluster Personalized Ranking Recommender System in Multi-Cloud, Mathematics, 2023          (IF: 2.592)
109. Ravikumar A., Sriraman H.          Real-time pneumonia prediction using pipelined spark and high-performance computing,  PeerJ Computer Science, 2023 (IF: 2.411)
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)
113. Balamurugan K., Pitchai R., Supraja P., Dhanalakshmi R.         Performance Enhancement of MANET based on Cross-layered Reconfigurable Hierarchical Routing Protocol, Journal of Scientific and Industrial Research, 2023 (IF: 0.55)
114. S V., N.G. B.A., Baik N. Detection of DoS Attacks in Smart City Networks with Feature Distance Maps: A Statistical Approach, IEEE Internet of Things Journal, 2023              (IF: 10.238)
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)
120. Balasundaram A., Kavitha M.S., Pratheepan Y., Akshat D., Kaushik M.V        A Foreground Prototype-Based One-Shot Segmentation of Brain Tumors      Diagnostics, 2023 (IF:3.992)
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)
134. 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)
135. Balamurugan K., Pitchai R., Supraja P., Dhanalakshmi R.         Performance Enhancement of MANET based on Cross-layered Reconfigurable Hierarchical Routing Protocol, Journal of Scientific and Industrial Research, 2023 (IF: 0.55)
136. Sankaran K.S., Kim T., P.N.Renjith, An Improved AI based Secure M-Trust Privacy Protocol for Medical Internet of Things in Smart Healthcare System, IEEE Internet of Things Journal, 2023 (IF: 10.238)
137. Anbalagan S., Raja G., Gurumoorthy S., Suresh R.D., Dev K., IIDS: Intelligent Intrusion Detection System for Sustainable Development in Autonomous Vehicles, IEEE Transactions on Intelligent Transportation Systems, 2023 (IF: 9.551)
138. G A., Priyadarshini R., Titus A., Sahoo S., Muppala C., Ramkumar G., Anh Pham Q., Rubavathy S.J., Rajasimman M., Hojjati Najafabadi A., Deep learning for the encounter of inorganic nanomaterial for efficient photochemical hydrogen production, International Journal of Hydrogen Energy, 2023 (IF: 7.139)
139. Sivakumar S., Sridhar S.S., Rajalakshmi R., Pushpalatha M., Shanmugan S., Niranjana G., “Intelligent and assisted medicine dispensing machine for elderly visual impaired people with deep neural network fingerprint authentication system”, Internet of Things (Netherlands), 2023 (IF: 5.711)
140. Suganeshwari G., Syed Ibrahim Peer Mohamed S.I., Sugumaran V, A graph-based collaborative filtering algorithm combining implicit user Neural Computing and Applications, 2023 (IF: 5.102)
141. Suganeshwari G., Appadurai J.P., Kavin B.P., Kavitha C., Lai W.-C., En–DeNet Based Segmentation and Gradational Modular Network Classification for Liver Cancer Diagnosis, Biomedicines, 2023 (IF: 4.757)
142. Kumar R., Singh T., Mohanty S.N., Goel R., Gupta D., Alharbi M., Khanna R, Study on online payments and ecommerce with SOR model, International Journal of Retail and Distribution Management, 2023 (IF: 4.743)
143. Blessy A., Kumar A., A P., Md A.Q., Alharbi A.I., Almusharraf A., Khan S.B, Sustainable Irrigation Requirement Prediction Using Internet of Things and Transfer, Learning Sustainability (Switzerland), 2023 (IF: 3.889)
144. Om Kumar C.U., Gajendran S., Balaji V., Nhaveen A., Sai Balakrishnan S, Securing health care data through blockchain enabled collaborative machine learning, Soft Computing, 2023 (IF: 3.732)
145. Marappan R., Vardhini P.A.H., Kaur G., Murugesan S., Kathiravan M., Bharathiraja N., Venkatesan R Efficient evolutionary modeling in solving maximization of lifetime of wireless sensor healthcare networks, Soft Computing, 2023 (IF: 3.732)
146. Koteeswaran S., Suganya R., Surianarayanan C., Neeba E.A., Suresh A., Chelliah P.R., Buhari S.M, A supervised learning approach for the influence of comorbidities in the analysis of COVID-19 mortality in Tamil Nadu, Soft Computing, 2023 (IF: 3.732)
147. Vignesh Baalaji S., Sandhya S., Sajidha S.A., Nisha V.M., Vimalapriya M.D., Tyagi A.K,  Autonomous face mask detection using single shot multibox detector, and ResNet-50 with identity retrieval through face matching using deep siamese neural network, Journal of Ambient Intelligence and Humanized Computing, 2023 (IF: 3.662)
148. Ganesh N., Jayalakshmi S., Narayanan R., Mahdal M Zawbaa H.M., Mohamed, Gated Deep Reinforcement Learning with Red Deer Optimization for Medical Image Classification, IEEE Acces, 2023 (IF: 3.476)
149. Reena Roy R., Shanmugam L., Vinothini A., Venkatachalam N., Sumathy G., Murugeshan B., Mercy Rajaselvi Beaulah P., Kerga G.A., Investigation of the Wear Behavior of AA6063/Zirconium Oxide Nanocomposites Using Hybrid Machine Learning Algorithms, Journal of Chemistry, 2023(IF: 3.241)
150. Henge S.K., Maheswari G.U., Ramalingam R., Alshamrani S.S., Rashid M., Murugan J. Dependable and Non-Dependable Multi-Authentication Access Constraints to Regulate Third-Party Libraries and Plug-Ins across Platforms Systems, 2023 (IF: 2.895)
151. Narayanan R.C., Ganesh N., Čep R., Jangir P., Chohan J.S., Kalita K, A Novel Many-Objective Sine–Cosine Algorithm (MaOSCA) for Engineering, Applications Mathematics, 2023 (IF: 2.592)
152. Prashanth A., Jayalakshmi S.L., Vedhapriyavadhana R, A review of deep learning techniques in audio event recognition (AER) applications, Multimedia Tools and Applications, 2023 (IF: 2.577)
153. Amma N.G.B., Rajput V. Towards improving the performance of traffic sign recognition using support vector machine based deep learning model Multimedia Tools and Applications, 2023 (IF: 2.577)
154. Arumugham V., Sankaralingam B.P., Jayachandran U.M., Krishna K.V.S.S.R., Sundarraj S., Mohammed M., An explainable deep learning model for prediction of early-stage chronic kidney disease, Computational Intelligence, 2023 (IF: 2.142)
155. Kumar A., Kaushal M., Sharma A. SAM, C-GAN: a method for removal of face masks from masked faces Signal, Image and Video Processing, 2023 (IF: 1.583)
156. Krishna L.H., SK A., Rao J.B., Veeramachaneni S., Sk N.M., Energy Efficient Approximate Multiplier Design with Lesser Error Rate using the Probability-based Approximate 4:2 Compressor, IEEE Embedded Systems Letters, 2023 (IF: 1.524)
157. Diviya M., Karmel A, TAM GAN: Tamil Text to Naturalistic Image Synthesis Using Conventional Deep Adversarial Networks, ACM Transactions on Asian and Low Resource Language Information Processing, 2023 (IF: 1.471)
158. Emil Selvan G.S.R., Jagadeesh Kannan R., Sangapu S.C., Shalini S., Pandurangan R., Raj E.F.I,  Novel Development of Fuzzy Controller Based Multi-Agent System for Efficient Navigation of Autonomous Robots, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2023 (IF: 1.027)
159. Vinodha R., Parvathi R.,   Content and Location Based Point-of Interest Recommendation System Using HITS Algorithm, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2023 (IF: 1.027)
160. Santosh, Jenila Livingston L.M., An Approach for Automated Kannada Subtitle Generation from Kannada Video, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2023 (IF: 1.027)
161. Benil T., Kumar P.K., Bharathi R., Efficient data pruning using optimal KNN for weather forecasting in cloud computing, International Journal of Global Warming, 2023 (IF: 0.972)
162. K V., S J., Karuppiah S.V., HO-DQLN: Hybrid optimization-based deep Q-learning network for optimizing QoS requirements in service oriented mode   Expert Systems with Applications, 2023 (IF: 8.665)
163. Kalidas A.P., Joshua C.J., Md A.Q., Basheer S., Mohan S., Sakri S, Deep Reinforcement Learning for Vision Based Navigation of UAVs in Avoiding Stationary and Mobile Obstacles Drones, 2023 (IF: 5.532)
164. Subbarayalu V., Vensuslaus M.A., An Intrusion Detection System for Drone Swarming Utilizing Timed Probabilistic Automata Drones, 2023 (IF: 5.532)
165. Subburaj B., Jayachandran U.M., Arumugham V., Suthanthira Amalraj M.J.A. A Self-Adaptive Trajectory Optimization Algorithm Using Fuzzy Logic for Mobile Edge Computing System Assisted by Unmanned Aerial Vehicle Drones, 2023 (IF: 5.532)
166. C P., R J.K. Retinal image enhancement based on color dominance of image Scientific Reports, 2023 (IF: 4.996)
167. Veerabaku M.G., Nithiyanantham J., Urooj S., Md A.Q., Sivaraman A.K., Tee K.F. Intelligent Bi-LSTM with Architecture Optimization for Heart Disease Prediction in WBAN through Optimal Channel Selection and Feature Selection   Biomedicines, 2023 (IF: 4.757)
168. Braveen M., Nachiyappan S., Seetha R., Anusha K., Ahilan A., Prasanth A., Jeyam A. ALBAE feature extraction based lung pneumonia and cancer classification Soft Computing, 2023 (IF: 3.732)
169. Ravikumar A., Sriraman H. Computationally Efficient Neural Rendering for Generator Adversarial Networks Using a Multi-GPU Cluster in a Cloud Environment IEEE Access, 2023 (IF: 3.476)
170. Vijayakumar K.P., Pradeep K., Balasundaram A., Prusty M.R. Enhanced Cyber Attack Detection Process for Internet of Health Things (IoHT) Devices Using Deep Neural Network Processes, 2023 (IF: 3.352)
171. Priyadarshini R., Abdullah A.S., Karthikeyan K.V., Vinoth M., Martin B., Geerthik S Utilization of Bioinorganic Nanodrugs and Nanomaterials for the Control of Infectious Diseases Using Deep Learning BioMed Research International, 2023 (IF: 3.246)
172. Manikandan S., Raman R., Rajalakshmi R., Tamilselvi S., Surya R.J Deep learning-based detection of diabetic macular edema using optical coherence tomography and fundus images: A metaanalysis Indian journal of ophthalmology, 2023 (IF: 2.969)
173. Anandh O.S., Mathew T.E., Pradeep K.V., Rajarajeswari S. Novel STD-ACP for detecting energy and threshold value in the network Wireless Networks, 2023 (IF: 2.701)
174. Ganesh N., Shankar R., Kalita K., Jangir P., Oliva D., Pérez Cisneros M. A, Novel Decomposition-Based MultiObjective Symbiotic Organism Search Optimization Algorithm Mathematics            , 2023 (IF: 2.592)
175. Kiran A., Mathivanan P., Mahdal M., Sairam K., Chauhan D., Talasila V., Enhancing Data Security in IoT Networks with Blockchain-Based Management and Adaptive Clustering Techniques Mathematics, 2023 (IF 2.592)
176. Daniel D.A.J., Meena M.J. Deep learning-based hybrid sentiment analysis with feature selection using optimization algorithm  Multimedia Tools and Applications, 2023        (IF: 2.577)
177. Jawahar M., Jani Anbarasi L., Jasmine S G., Daya J.L F., Ravi V., Chakrabarti P. Trs-net tropical revolving storm disasters analysis and classification based on multispectral images using 2-d deep convolutional neural network, Multimedia Tools and Applications, 2023 (IF: 2.577)
178. Kumar A., Sujith M., Valarmathi K., Kumar R., Al-Asbahi B.A., Ahmed A.A.A, Double-Absorber CZTS/Sb2Se3 Architecture for High-Efficiency Solar-Cell Devices Physica Status Solidi (A) Applications and Materials Science, 2023    (IF: 2.17)
179. Balasundaram A., Dilip G., Ashokkumar S., Manickam M., Gurunathan K., Kothandaraman D. Detecting True Medicinal Leaves Among Similar Leaves Using Computer Vision and CNN National Academy Science Letters, 2023 (IF: 0.649)
180. Damodhar T.S.B., Anandan P., Nalini C., Jerlin M.A., Victor A., Anusha K., Jothilakshmi R., A mutual certificate-based data privacy scheme for ubiquitous and sustainable computing system users Sustainable Energy Technologies and Assessments, 2023 (IF: 8.0)
181. Asha, B. Kalaavathi, K. Shantha Kumari, K.Malarvizhi, A. Kishore Kumar, S. Sobitha Ahila, Energy-efficient and sustainable communication in optical networks for eliminating path reservation criteria and providing guaranteed packet transmission between nodes, Neural Computing and Applications, 2023 (IF: 6.0)
182. Narmatha P., Gupta S., Vijaya Lakshmi T.R., Manikavelan D. Skin cancer detection from dermoscopic images using Deep Siamese domain adaptation convolutional Neural Network optimized with Honey Badger Algorithm Biomedical Signal Processing and Control, 2023 (IF: 5.1)
183. Pavithraa Senthilkumar, Menaka Pushpa Arthur A review of intelligent models for mapping city development and urban flooding John Wiley, 2023 (IF: 4.7)
184. Illakiya T., Ramamurthy K., Siddharth M.V., Mishra R., Udainiya A. AHANet: Adaptive Hybrid Attention Network for Alzheimer’s Disease Classification Using Brain Magnetic Resonance Imaging Bioengineering, 2023 (IF: 4.6)
185. Dass R., Narayanan M., Ananthakrishnan G., Kathirvel Murugan T., Nallakaruppan M.K., Somayaji S.R.K., Arputharaj K., Khan S.B., Almusharraf A. A Cluster – Based Energy -Efficient Secure Optimal Path – Routing Protocol for Wireless Body – Area Sensor Networks Sensors, 2023 (IF: 3.9)
186. Joshua C.J., Jayachandran P., Md A.Q., Sivaraman A.K., Tee K.F. Clustering, Routing, Scheduling, and Challenges in Bio-Inspired Parameter Tuning of Vehicular Ad Hoc Networks for Environmental Sustainability (Switzerland), 2023 (IF: 3.9)
187. Neeraja R., Jani Anbarasi L. CephXNet: A Deep Convolutional Squeeze – and -Excitation model for Landmark Prediction on Lateral Cephalograms IEEE Access, 2023 (IF: 3.9)
188. Dinesh Kumar K., Umamaheswari E., An efficient proactive VM consolidation technique with improved LSTM network in a cloud environment Computing, 2023 (IF: 3.7)
189. Rajaram K., Bhuvaneswari Amma N.G., Guptha A.S., Selvakumar S. CLNet: a contactless fingerprint spoof detection using deep neural networks with a transfer learning approach Multimedia Tools and Applications, 2023 (IF: 3.6)
190. Ravikumar A., Sriraman H., Saleena B., Prakash B. Selecting the optimal transfer learning model for precise breast cancer diagnosis utilizing pre-trained deep learning models and histopathology images Health and Technology, 2023 (IF: 2.5)
191. Sukanya G., Priyadarshini J Modified Hierarchical-Attention Network model for legal judgment predictions Data and Knowledge Engineering, 2023 (IF: 2.5)
192. Udhayakumar A., Mayandi K., Rajini N., Devi R.K., Muthukannan M., Murali M. Ismail S.O., Mohammad F., Al-Lohedan H.A Effect of chemical treatment on physicochemical properties of a novel extracted cellulosic Cryptostegia grandiflora fiber Materials Research Express, 2023 (IF: 2.3)
193. Anuradha T., Sen S.K., Tamilarasi K.M., Haleem S.L.A., Abdul-Samad Z., Anupong W. Aquatic ecosystem-based water management in agriculture project by data analytics using classification by deep learning techniques Acta Geophysica, 2023 (IF: 2.3)
194. Kaliraj S., Hariharan B., Sivakumar V., Femilda Josephin J.S., Siva R., Senthil Prakash P.N. Doppler shift with Archimedes Optimization Algorithm for localizing unknown nodes in underwater sensor networks International Journal of Communication Systems, 2023 (IF: 2.1)
195. Abdul Lathif S.I., Cruz Antony J., Noel Jeygar Robert V., Aishwarya D. Optimize and analysis of drilling PMSM using hybrid technique based on BN, FFT, FCE, and FMA for risk assessment Journal of Intelligent and Fuzzy Systems, 2023 (IF: 2.0)
196. Rajeshwari S., Rajesh M. Exact Wirelength of Embedding 3-Ary nCubes into Certain Cylinders and Trees Fundamenta Informaticae, 2023 (IF: 0.8)
197. Srilakshmi G., Praveen Joe I.R., Sports video retrieval and classification using focus u-net based squeeze excitation and residual mapping deep learning model, Engineering Applications of Artificial Intelligence, 2023 (IF: 8.00)
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)

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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)
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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)
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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)
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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)
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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)
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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
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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)
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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)

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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)
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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)
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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)
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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).

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).

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)

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.
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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
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17. Nitin Asthana, Shridevi S, DECRYPTING RSA ENCRYPTION USING QUANTUM ALGORITHM, Advances in Mathematics: Scientific Journal, pp. 729–742, (2021)
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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).
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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)
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70. Sujithra Alias Kanmani R., Surendiran B., Ibrahim S.P.S., Recency augmented hybrid collaborative movie recommendation system,(2021).
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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
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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.
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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.
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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.

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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.

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.
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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.
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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.
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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.
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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.

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.

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.
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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.

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