1. Fang M., Tan Z., Tang Y., Chen W., Huang H., Dananjayan S., He Y., Luo S., Pest-ConFormer: A hybrid CNNTransformer architecture for large-scale multi-class crop pest recognition, Expert Systems with Applications, 2024 (IF: 7.5)
2. S P., Denny J C.M., An efficient approach to detect and segment underwater images using Swin Transformer, Results in Engineering, 2024 (IF: 6.0)
3. Divyashree S., Joshua C.J., Md A.Q., Mohan S., Abdullah A.S., Mohamad U.H., Innab N., Ahmadian A, Enabling business sustainability for stock market data using machine learning and deep learning approaches, Annals of Operations Research, 2024 (IF: 4.4)
4. Aswiga R.V., Sridevi S., Indira B., Leveraging Quantum Kernel Support Vector Machine for breast cancer diagnosis from Digital Breast Tomosynthesis images, Quantum Machine Intelligence, 2024 (IF: 4.1)
5. Balasundaram A., Abdul Aziz A.B., Gupta A., Shaik A., Kavitha M.S., A fusion approach using GIS, green area detection, weather API and GPT for satellite image based fertile land discovery and crop suitability, Scientific Reports, 2024 (IF: 3.8)
6. Benjamin Warnke, Kevin Martens, Tobias Winker, Sven Groppe, Jinghua Groppe, Prasad Adhiyaman, Sruthi Srinivasan and Shridevi Krishnakumar, ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL, Big Data and Cognitive Computing, 2024 (IF: 3.7).
7. Reddy A.A., Battula R.B., Gopalani D, Performance analysis of ML models on 5G sub -6 GHz bands: An experimental study, Cluster Computing, 2024 (IF: 3.6)
8. Om Kumar C.U., Gowtham N.,Zakariah M.,Almazyad A., Multimodal Emotion Recognition Using Feature Fusion: An LLM-based Approach, IEEE Access, 2024 (IF: 3.4)
9. Abinaya S., Deepak M., Sherly Alphonse A, Enhanced Image Captioning Using Bahdanau Attention Mechanism and Heuristic Beam Search Algorithm, IEEE Access, 2024 (IF: 3.4)
10. Kanimozhi S., Sasithradevi A., Sairamesh L., Ontology-Based Action Recognition in Sport Video’s Using Semantic Verification Model, IEEE Access, 2024 (IF: 3.4)
11. Pavithra S., Jaladi D., Tamilarasi K., Optical imaging for diabetic retinopathy diagnosis and detection using ensemble models, Photodiagnosis and Photodynamic Therapy, 2024 (IF: 3.1)
12. Henge S.K., Rajakumar R., Prasanna P., Parivazhagan,A.,Hu Y.-C., Chen W.-L., Multi-layered access control based auto tuning relational key implications in enterprise-level multi-tenancy, Multimedia Tools and Applications, 2024 (IF: 3.0)
13. Kinikar M., Saleena B., Automatic Query Generation Based on Adaptive Naked Mole-Rate Algorithm, Multimedia Tools and Applications, 2024 (IF: 3.0)
14. Ranjith J., Sarobin V.R., Bhargavi R.C., Dual strategy for single image denoising and generation using deep neural network, Multimedia Tools and Applications, 2024 (IF: 3.0)
15. Girijakumari Sreekantan Nair S., Chandrasekaran B, MetaHealth: unlocking metaverse technologies in digital healthcare, Expert Review of Medical Devices, 2024 (IF: 2.9)
16. Sasithradevi A., nathan S., Chanthini B., Subbulakshmi T., Prakash P, MonuNet: a high performance deep learning network for Kolkata heritage image classification, Heritage Science, 2024 (IF: 2.6)
17. Krishnan P.T., Krishnadoss P., Khandelwal M., Gupta D., Nihaal A., Kumar T.S, Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer, Frontiers in Neuroinformatics, 2024 (IF: 2.5)
18. Thungon L.C., Ahmed N., De D., Hussain M.I., A Survey on 6LoWPAN Security for IoT: Taxonomy, Architecture and Future Directions, Wireless Personal Communications, 2024 (IF: 1.9)
19. Vaishnavi V., Braveen M., Muthukumaran N., Poonkodi P., Premature Infant Cry Classification via Elephant Herding Optimized Convolutional Gated Recurrent Neural Network Circuits, Systems and Signal Processing, 2024 (IF: 1.8)
20. Krishnasamy B., Palani S.K., Neelakandan R.P., Uma S., Aggregate-attention network optimised and graph sample with arithmetic optimisation algorithm fostered IoT device type identification for enhancing IoT security, International Journal of Bio-Inspired Computation, 2024 (IF: 1.7)
21. A M.N., Sathyarajasekaran K, SwinVNETR: Swin V-net Transformer with non-local block for volumetric MRI Brain Tumor Segmentation, Automatika, 2024 (IF: 1.7)
22. Sai M.N., Sakthivel V., Prakash P., Vishnukumar K., Min D., Advanced Diagnosis of Polycystic Ovarian Syndrome using Machine Learning and Multimodal Data Integration, International Journal of Advanced Computer Science and Applications, 2024 (IF: 0.7)
23. Varshini G.V., Sakthivel V., Prakash P., Hussain M.D., Lee J.W., Sleep Apnea and Rapid Eye Movement Detection using ResNet-50 and Gradient Boost, International Journal of Advanced Computer Science and Applications, 2024 (IF: 0.7)
24. Sharen H., Jani Anbarasi L., Rukmani P., Gandomi A.H., Neeraja R., Narendra M. WISNet: A deep neural network based human activity recognition system, Expert Systems with Applications, 2024 (IF: 7.5)
25. Madavarapu J.B., Nachiyappan S., Rajarajeswari S., Anusha N., Venkatachalam N., Madavarapu R.C.B., Ahilan A, Hot Watch: IOT based Wearable Health Monitoring System, IEEE Sensors Journal, 2024 (IF: 4.3)
26. Radha R., Subbulakshmi P., Mridhula N., A Dynamic Feedback-Based Fuzzy Logic Approach for Fast Association over Large IEEE 802.11ah Network Human-centric Computing and Information Sciences, 2024 (IF: 3.9)
27. Raminedi S., Shridevi S., Won D., Multi-modal transformer architecture for medical image analysis and automated report generation, Scientific Reports, 2024 (IF: 3.8)
28. Jawahar M., Anbarasi L.J., Narayanan S., Gandomi A.H., An attention-based deep learning for acute lymphoblastic leukemia classification, Scientific Reports, 2024 (IF: 3.8)
29. Subburaj B., Maheswari J.U., Ibrahim S.P.S., Kavitha M.S., Population diversity control based differential evolution algorithm using fuzzy system for noisy multi-objective optimization problems, Scientific Reports, 2024 (IF: 3.8)
30. Bhavadharini R.M., Surendiran B, Secured osprey-based energy efficient routing and congestion control in WSN, Sustainable Computing: Informatics and Systems, 2024 (IF: 3.8)
31. Sowjanya U.L., Krithiga R., Decoding Student Emotions: An Advanced CNN Approach for Behavior Analysis Application Using Uniform Local Binary Pattern, IEEE Access, 2024 (IF: 3.4)
32. Sharmila V., Geetha S, Gastro Intestinal Disease Classification Using Hierarchical Spatio Pyramid TranfoNet with PitTree Fusion and Efficient-CondConv SwishNet, IEEE Access, 2024 (IF: 3.4)
33. Agarwal G., Jindal K., Chowdhury A., Singh V.K., Pal A., Image and Video Captioning for Apparels Using Deep Learning, IEEE Access, 2024 (IF: 3.4)
34. Jeevakumari S.A.A., Dey K., LipSyncNet: A Novel Deep Learning Approach for Visual Speech Recognition in Audio-Challenged Situations, IEEE Access, 2024 (IF: 3.4)
35. Charan K.S., Krishna O.V., Sai P.V., Ilavarasi A.K., Transfer Learning Based Multi-Class Lung Disease Prediction Using Textural Features Derived From Fusion Data, IEEE Access, 2024 (IF: 3.4)
36. Kaviya Elakkiya M., Dejey Classification of autistic subjects employing modified volume local binary pattern (MVLBP) and stacked Autoencoder (SAE) on functional magnetic resonance imaging (fMRI), Multimedia Tools and Applications, 2024 (IF: 3.0)
37. R H., B L., Krishnamurthy V., TransEffiVisNet – an image captioning architecture for auditory assistance for the visually impaired, Multimedia Tools and Applications, 2024 (IF: 3.0)
38. Deepa S., Singh C., Renjith P.N., Optimized deep learning-based channel estimation for pilot contamination in a massive multiple-input-multiple-output-nonorthogonal multiple access system, International Journal of Communication Systems, 2024 (IF: 1.7)
39. Om Kumar C.U., Marappan S., Murugeshan B., Beaulah P., Intrusion Detection for Blockchain-Based Internet of Things Using Gaussian Mixture–Fully Convolutional Variational Autoencoder Model, International Journal of Network Management, 2024 (IF: 1.5)
40. Sakthivel V., Prakash P., Lee J.-W., Prabu P., Enhancing Transparency and Trust in Agrifood Supply Chains through Novel Blockchain-based Architecture, KSII Transactions on Internet and Information Systems, 2024 (IF: 1.2)
41. Alluhaidan A.S., Prabu P., Basheer S., Aziz R., Prakash P., Integrated hybrid membrane system for enhanced water treatment and desalination for environmental preservation, Desalination and Water Treatment, 2024 (IF: 1.0)
42. Sukanya G., Priyadarshini J., Hybrid CNN: An Empirical Analysis of Machine Learning Models for Predicting Legal Judgments, International Journal of Advanced Computer Science and Applications, 2024 (IF: 0.7)
43. Vanathi D., Anusha K., Ahilan A., Salinda Eveline Suniram A., Software cost and effort estimation using dragonfly whale optimized multilayer perceptron neural network, Alexandria Engineering Journal, 2024 (IF: 6.2)
44. Nagachandrika B., Prasath R., Praveen Joe I.R, An automatic classification framework for identifying type of plant leaf diseases using multi-scale feature fusion-based adaptive deep network, Biomedical Signal Processing and Control, 2024 (IF: 5.1)
45. Pandiyaraju V., Ganapathy S., Senthil Kumar A.M., Jesher Joshua M., Ragav V., Sree Dananjay S., Kannan A., A new clinical diagnosis system for detecting brain tumor using integrated ResNet_Stacking with XGBoost, Biomedical Signal Processing and Control, 2024 (IF: 4.9)
46. Mirunalini P., Desingu K., Aswatha S., Deepika R., Deepika V., Jaisakthi S.M., Conditional adversarial segmentation and deep learning approach for skin lesion subtyping from dermoscopic images, Neural Computing and Applications, 2024 (IF: 4.5)
47. V P., Kumar A.M.S., Praveen J.I.R., Venkatraman S., Kumar S.P., Aravintakshan S.A., Abeshek A., Kannan A. Improved tomato leaf disease classification through adaptive ensemble models with exponential moving average fusion and enhanced weighted gradient optimization, Frontiers in Plant Science, 2024 (IF: 4.1)
48. Nawas K.K., Shahina A., Balachandar K., Maadeshwaran P., Devanathan N.G., Kumar N., Khan A.N., Recurrence plot embeddings as short segment nonlinear features for multimodal speaker identification using air, bone and throat microphones, Scientific Reports, 2024 (IF: 3.8)
49. Dhanushkodi K., Kumar R., Mittal P., Das S.S., Suryavenu N.N.S., Venkataramani K., Enhancing resource utilization and privacy in IoT data placement through fuzzy logic and PSO optimization, Cluster computing, 2024 (IF: 3.6)
50. Masood M.D., Manjula, Sugumaran V., Transcription Factor Binding Site Prediction Using CnNet Approach, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024 (IF: 3.6)
51. Moorthy R.S., Arikumar K.S., Prathiba S.B., Yenduri G., Mohanty S.N., Ramesh J.V.N., Handling the Class Imbalance Problem with an Improved Sine Cosine Algorithm for Optimal Instance Selection, IEEE Access, 2024 (IF: 3.4)
52. Balasundaram A., Shaik A., Alroy B.R., Singh A., Shivaprakash S., Genetic Algorithm Optimized Stacking Approach to Skin Disease Detection, IEEE Access, 2024 (IF: 3.4)
53. Ravikumar A., Sriraman H., Chadha C., Chattu V.K, Alleviation of Health Data Poverty for Skin Lesions using ACGAN: Systematic Review, IEEE Access, 2024 (IF: 3.4)
54. Vijayaraj A.R., Pasupathi S., Nature Inspired Optimization in Context – Aware based Coronary Artery Disease Prediction: A Novel Hybrid Harris Hawks Approach, IEEE Access, 2024 (IF: 3.4)
55. Gokulakrishnan E., Malathi G., Deep Learning Based Hand Wrist Crease Object Detection Models: An In -depth Analysis. IEEE Access, 2024 (IF: 3.4)
56. Dhanushkodi K., Bala A., Kodipyaka N., Shreyas V., Customer Behaviour Analysis and Predictive Modelling in Supermarket Retail: A Comprehensive Data Mining Approach, IEEE Access, 2024 (IF: 3.4)
57. Cu O.K., Srinivasan S., Pathak V., Effective Side Effect Prediction by Modelling Drug-Drug Interaction using Two Input Graph Neural Networks with Self Supervised Pretraining and Ensemble Methods, IEEE Access, 2024 (IF: 3.4)
58. Rajasekar D., Theja G., Prusty M.R., Chinara S., Efficient colorectal polyp segmentation using wavelet transformation and AdaptUNet: A hybrid U –Net, Heliyon, 2024 (IF: 3.4)
59. Krishnan R., Durairaj S, Reliability and performance of resource efficiency in dynamic optimization scheduling using multi-agent microservice cloud-fog on IoT applications, Computing, 2024 (IF: 3.3)
60. Bhansali A., Rekha P.M., Shahapure N.H., Pallavi G.B., Punitha K., Surendrarao Honnahalli S, 3D mask based lung function monitoring system using machine learning for early identification of lung disorders, International Journal of Imaging Systems and Technology, 2024 (IF: 3.0)
61. Dhanushkodi K., Shunmugiah J., Velladurai S.M., Rajendran S., An optimal attention PLSTM-based classification model to enhance the performance of IoMT attack detection in healthcare application, Transactions on Emerging Telecommunications Technologies, 2024 (IF: 2.5)
62. Abirami S., Pethuraj M., Uthayakumar M., Chitra P, A systematic survey on big data and artificial intelligence algorithms for intelligent transportation system, Case Studies on Transport Policy, 2024 (IF: 2.4)
63. Kumar A., Dhanalakshmi R., EYE-YOLO: a multi-spatial pyramid pooling and Focal-EIOU loss inspired tiny YOLOv7 for fundus eye disease detection, International Journal of Intelligent Computing and Cybernetics, 2024, (IF: 2.2)
64. Balasundaram A., Shaik A., Prasad A., Pratheepan Y., On-road obstacle detection in real time environment using an ensemble deep learning model, Signal Image and Video Processing, 2024 (IF: 2.0)
65. Maiti M., Priyaadharshini M., Evaluation of the experiences of learners and facilitators with ICT within the realm of higher education, Cogent Education, 2024 (IF: 1.5)
66. Sethia P., Nandhini D., Amutha S., Effects of marine microplastic on marine life and the food webs – A detailed review, Marine Ecology, 2024 (IF: 1.5)
67. Rathinam R., Sivakumar P., Sigamani S., Kothandaraman I., SJFO: Sail Jelly Fish Optimization enabled VM migration with DRNN-based prediction for load balancing in cloud computing Network:, Computation in Neural Systems, 2024 (IF: 1.1)
68. Sivasubramani D.N., Additively Manufactured Stress-strain Dependant Frequency Reconfigurable Antenna for Pressure Sensor Applications, Medziagotyra, 2024 (IF: 0.8)
69. Prusty M.R., Sudharsan R.M., Anand P., Enhancing medical image classification with generative AI using latent denoising diffusion probabilistic model and wiener filtering approach[Formula presented], Applied Soft Computing, 2024 (IF: 8.7)
70. Sam Jeeva Raj E.J., Palaniappan R., A novel method for movement quality analysis of lower limb joints using surface electromyography signals and k-means clustering technique, Biomedical Signal Processing and Control, 2024 (IF: 5.1)
71. Sambandam Raju P., Arumugam Rajendran R., Mahalingam M., Aka-Net: anchor free-based object detection network for surveillance video transmission in the IOT edge computing environment, IEEE Access, 2024 (IF: 3.9)
72. Pavithra S., Venkata Vikas K., Detecting Unbalanced Network Traffic Intrusions with Deep Learning, IEEE Access, 2024 (IF: 3.9)
73. Balasundaram A., Sharma A., Swaathy K., Shaik A., Kavitha M.S., An Improved Normalized Difference Vegetation Index (NDVI) Estimation using Grounded Dino and Segment Anything Model for Plant Health Classification, IEEE Access, 2024 (IF: 3.9)
74. Joshan Athanesious J., Kiruthika S., Perspective Transform based YOLO with Weighted Intersect Fusion for forecasting the Possession Sequence of the Live Football Game, IEEE Access, 2024 (IF: 3.9)
75. Prathiba S.B., Govindarajan Y., Ganesan V.P.A., Ramachandran A., Selvaraj A.K., Bashir A.K., Gadekallu T.R., Fortifying Federated Learning in IIoT: Leveraging Blockchain and Digital Twin Innovations for Enhanced Security and Resilience, IEEE Access, 2024 (IF: 3.9)
76. Sheik Abdullah A., Naga Pranava Shashank V., Altrin Lloyd Hudson D., Disseminating the risk factors with Enhancement in Precision Medicine using Comparative Machine learning Models for Healthcare Data, IEEE Access, 2024 (IF: 3.9)
77. Selvam P., Faheem M., Dakshinamurthi V., Nevgi A., Bhuvaneswari R., Deepak K., Abraham Sundar J., Batch Normalization Free Rigorous Feature Flow Neural Network for Grocery Product Recognition, IEEE Access, 2024 (IF: 3.9)
78. Hector I., Panjanathan R Predictive maintenance in Industry 4.0: a survey of planning models and machine learning techniques, PeerJ Computer Science, 2024 (IF: 3.8)
79. Balasundaram A., Shaik A., Banga J.K., Singh A.K., U-Net Inspired Deep Neural NetworkBased Smoke Plume Detection in Satellite Images Computers, Materials and Continua, 2024 (IF: 3.1)
80. Sasinthiran A., Gnanasekaran S., Ragala R., A review of artificial intelligence applications in wind turbine health monitoring, International Journal of Sustainable Energy, 2024 (IF: 3.1)
81. Mishra S., Satapathy S.K., Cho S.-B., Mohanty S.N., Sah S., Sharma S., Advancing COVID-19 poverty estimation with satellite imagery-based deep learning techniques: a systematic review, Spatial Information Research, 2024 (IF: 2.4)
82. Vaiyapuri T., Balaji P., Shridevi S., Dharmarajlu S.M., Alaseem N.A, An attention-based bidirectional long shortterm memory based optimal deep learning technique for bone cancer detection and classifications, AIMS Mathematics, 2024 (IF: 2.2)
83. Vaiyapuri T., Sivakumar M., Shridevi S., Parvathy V.S., Ramesh J.V.N., Syed K., Mohanty S.N, An intelligent water drop algorithm with deep learning driven vehicle detection and classification, AIMS Mathematics, 2024 (IF: 2.2)
84. Eswaramoorthi R., Prasad M., Senthil Rama R., Maheswari V.U., Optimized wireless communication for 6G signal processing using memory-augmented deep unfolding network, International Journal of Communication Systems, 2024 (IF: 2.1)
85. Kaliraj S., Sivakumar V., Premkumar N., Vatchala S, Snake swarm optimization-based deep reinforcement learning for resource allocation in edge computing environment, Concurrency and Computation: Practice and Experience, 2024 (IF: 2)
86. Amma N.G.N., Jayaraj T., Amma N.G.B., Towards improving the security of wireless networks using secured session keys, Information Security Journal, 2024 (IF: 1.8)
87. Dhanushkodi K., Vinayagasundaram P., Anbalagan V., Subbaraj S., Sethuraman R, TriKSV-LG: a robust approach to disease prediction in healthcare systems using AI and Levy Gazelle optimization, Computer Methods in Biomechanics and Biomedical Engineering, 2024(IF: 1.6)
88. Abdullah A.B., Jawahar M., Manogaran N., Subbiah G., Seeranagan K., Balusamy B., Saravanan A.C., Leather Image Quality Classification and Defect Detection System using Mask Region based Convolution Neural Network Model, International Journal of Advanced Computer Science and Applications, 2024 (IF: 0.9)
89. Thanga Purni J.S., Vedhapriyavadhana R., EOSA-Net: A deep learning framework for enhanced multi-class skin cancer classification using optimized convolutional neural networks, Journal of King Saud University – Computer and Information Sciences, 2024 (IF: 6.9)
90. Md A.Q., Jaiswal D., Mohan S., Innab N., Sulaiman R., Alaoui M.K., Ahmadian A., A novel approach for self-driving car in partially observable environment using lifelong reinforcement learning Sustainable Energy, Grids and Networks, 2024 (IF: 5.4)
91. Nagachandrika B., Prasath R., Praveen Joe I.R., An automatic classification framework for identifying type of plant leaf diseases using multi-scale feature fusion-based adaptive deep network, Biomedical Signal Processing and Control, 2024 (IF: 5.1)
92. Kanimozhi T., Sridevi S., Valliammai M., Mohanraj J., Vinodhkumar N., Sathasivam, A. Behavior prediction of fiber optic temperature sensor based on hybrid classical quantum regression model, Quantum Machine Intelligence, 2024 (IF: 4.8)
93. Penumala S.M., Karmel A., Kanimozhi G., Khanwalkar J., Thermoelectric generator powered time piece circuit for rechargeable battery operation, Scientific Reports, 2024 (IF: 4.6)
94. Suguna M., Sreenivasan A., Ravi L., Devarajan M., Suresh M., Almazyad A.S., Xiong G., Ali I., Mohamed A.W., Entrepreneurial education and its role in fostering sustainable communities, Scientific Reports, 2024 (IF: 4.6)
95. Poyyamozhi N., Kumar S.S., Renugadevi P., Prabhakar P., Experimental investigation of nano-coating effects on extended surfaces for enhanced thermal management of heat sinks, International Journal of Thermal Sciences, 2024 (IF: 4.5)
96. Thangaraj V., Raja Sree T., MSCO: Mobility-aware Secure Computation Offloading in blockchain- enabled Fog computing environments, Journal of Cloud Computing, 2024 (IF: 4.0)
97. Lavanya J M S., P S., Innovative approach towards early prediction of ovarian cancer: Machine learning- enabled XAI techniques, Heliyon, 2024 (IF: 4.0)
98. Koshy S.S., Jani Anbarasi L., LMHistNet: Levenberg-Marquardt Based Deep Neural Network for Classification of Breast Cancer Histopathological Images, IEEE Access, 2024 (IF: 3.9)
99. Godbin A.B., Jasmine S.G., Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning, IEEE Access, 2024 (IF: 3.9)
100. Renold A.P., Kathayat N.S., Comprehensive Review of Machine Learning, Deep Learning and Digital Twin Data-Driven Approaches in Battery Health Prediction of Electric Vehicles, IEEE Access, 2024 (IF: 3.9)
101. Kalita K., Ganesh N., Narayanan R., Jangir P., Oliva D., Perez-Cisneros M., Multi-Objective Water Strider Algorithm for Complex Structural Optimization: A Comprehensive Performance Analysis, IEEE Access, 2024 (IF: 3.9)
102. Chowdhury A., Pal A., Raut A., Kumar M., KIHCDP: An Incremental Hierarchical Clustering Approach for IoT Data Using Dirichlet Process, IEEE Access, 2024 (IF: 3.9)
103. T S S.M., Sreeja P.S., Fake news detection on social media using Adaptive Optimization based Deep Learning Approach, Multimedia Tools and Applications, 2024 (IF: 3.6)
104. Alphonse S., Verma H., Facial Expression Recognition with High Response-Based Local Directional Pattern (HR-LDP) Network Computers, Materials and Continua, 2024 (IF: 3.1)
105. Abinaya S., Kumar K.U., Enhancing Multicriteria-Based Recommendations by Alleviating Scalability and Sparsity Issues Using Collaborative Denoising Autoencoder Computers, Materials and Continua, 2024 (IF: 3.1)
106. Chandrashekar C., Krishnadoss P., PoornacharyV.K., Ananthakrishnan B., MCWOA Scheduler:Modified Chimp-Whale Optimization Algorithm for Task Scheduling in Cloud Computing Computers, Materials and Continua, 2024 (IF: 3.1)
107. Alphonse S., Abinaya S., Paul S., Prediction of bandwidth of metamaterial antenna using pearson kernel-based techniques, Computers, Materials and Continua, 2024 (IF: 3.1)
108. Chandrashekar C., Vijayakumar K.P., Pradeep K., Balasundaram A., MDCN: Modified Dense Convolution Network Based Disease Classification in Mango Leaves, Computers, Materials and Continua, 2024 (IF: 3.1)
109. Veena N., Prasad M., Aruna Deepthi S., Swaroopa Rani B., Nayak M., Someshwar S., An Optimized Recurrent Neural Network for re-modernize food dining bowls and estimating food capacity from images, Entertainment Computing, 2024 (IF: 2.8)
110. Jayasakthi Velmurugan K., Sumathy G., Pradeep K.V., Novel algorithm machine translation for language translation tool, Computational Intelligence, 2024 (IF: 2.8)
111. Usharani S., Gayathri R., Kovvuri U.S.D.R., Nivas M., Md A.Q., Tee K.F., Sivaraman A.K., An efficient approach for automatic crack detection using deep learning, International Journal of Structural Integrity, 2024 (IF: 2.7)
112. Thungon L.C., Sahana S.C., Hussain I., A lightweight authentication scheme for 6LoWPAN-based Internet-of-things, Information Security Journal, 2024 (IF: 1.8)
113. Chithra T.V., Karthikeyan K., Mansoor Hussain D., Muthukumaran N., Energy Aware Reliable Sleep Wakeup based Clustering Scheme in WSN, IETE Journal of Research, 2024 (IF: 1.5)
114. Nivethika S.D., A Simple Structured Multiband Terahertz Metamaterial Absorber With A High Q Factor, Materiali in Tehnologije, 2024 (IF: 0.5)
115. Parkavi R., Karthikeyan P., Sheik Abdullah A., Enhancing personalized learning with explainable AI: A chaotic particle swarm optimization based decision support system, Applied Soft Computing, 2024 (IF: 8.7)
116. Vengadeswaran S., Balasundaram S.R., Dhavakumar P., IDaPS — Improved data-locality aware data placement strategy based on Markov clustering to enhance MapReduce performance on Hadoop, Journal of King Saud University – Computer and Information Sciences, 2024 (IF: 6.9)
117. Narendra M., Valarmathi M.L., Anbarasi L.J., Gandomi A.H., Levenberg–Marquard deep neural watermarking for 3D mesh using nearest centroid salient point learning, Scientific Reports, 2024 (IF: 4.6)
118. Valarmathi K., Seetha J., Krishnamoorthy N.V., Hema M., Ramkumar G., An integrated energy storage framework with significant energy management and absorption mechanism for machine, Sustainable Computing, 2024 (IF: 4.5)
119. R R., S H., Nagarajan S.M., Devarajan G.G., Omar M., Bashir A.K., Threat Detection and Mitigation for Tactile Internet Driven Consumer IoT-Healthcare System, IEEE Transactions on Consumer Electronics, 2024 (IF: 4.3)
120. Kim D., N.G. B.A., Sarveshwaran V.A, Novel Split Learning Based Consumer Electronics Network Traffic Anomaly Detection Framework for Smart City Environment, IEEE Transactions on Consumer Electronics, 2024 (IF: 4.3)
121. Prathiba S.B., Raja K., Saiabirami R.V., Kannan G, An Energy-Aware Tailored Resource Management for Cellular-Based ZeroTouch Deterministic Industrial M2M Networks, IEEE Access, 2024 (IF: 3.9)
122. Rajalakshmi R., Faizal S., Sivasankaran S., Geetha R., RiceSeedNet: Rice seed variety identification using deep neural network, Journal of Agriculture and Food Research, 2024 (IF: 3.8)
123. Sureshkumar W., Paul P., Zhang G., On languages generated by isotonic array P systems with/without priority rules, Journal of Membrane Computing, 2024 (IF: 3.8)
124. Ganapathy S., Thoidingjam V., Sen A., A brain tumor prediction system for detecting the tumor disease using mini batch K-Means clustering and CNN, Multimedia Tools and Applications, 2024 (IF: 3.6)
125. Gupta S., Patel N., Kumar A., Jain N.K., Dass P., Hegde R., Rajaram A., Intelligent resource optimization for scalable and energy-efficient heterogeneous IoT devices, Multimedia Tools and Applications, 2024 (IF: 3.6)
126. Pinki, Kumar R., Vimal S., Alghamdi N.S., Dhiman G., Pasupathi S., Sood A., Viriyasitavat W., Sapsomboon A., Kaur A., Artificial intelligence-enabled smart city management using multi-objective optimization strategies, Expert Systems, 2024 (IF: 3.3)
127. Afiya S., Rajesh M.Embedding (K9-C9)n into interconnection networks, Journal of Supercomputing, 2024 (IF: 3.3)
128. Pran S.G., Raja S., Jeyasudha S., Intrusion detection system based on the beetle swarm optimization and K-RMS clustering algorithm, International Journal of Adaptive Control and Signal Processing, 2024 (IF: 3.1)
129. Kalita K., Ganesh N., Shankar R., Chakraborty S., A Fuzzy MARCOS-Based Analysis of Dragonfly Algorithm Variants in Industrial Optimization Problems, Informatica (Netherlands), 2024 (IF: 2.9)
130. Sonai V., Bharathi I.A, New Statistical Compression-Based Method for Wireless Sensor Networks Energy Efficient Data Transmission, IEEE Sensors Letters, 2024 (IF: 2.8)
131. Prethija G., Katiravan J., EAMR-Net: A multiscale effective spatial and cross-channel attention network for retinal vessel segmentation, Mathematical Biosciences and Engineering, 2024 (IF: 2.6)
132. Munuswamy Selvaraj K., Gnanagurusubbiah S., Roby Roy R.R., John peter J.H., Balu S., Enhancing skin lesion classification with advanced deep learning ensemble models: a path towards accurate medical diagnostics, Current Problems in Cancer, 2024 (IF: 2.6)
133. Liakath J.A., Natesan G., Krishnadoss P., Nanjappan M., Efficient resource allocation in heterogeneous clouds: genetic water evaporation optimization for task scheduling Signal, Image and Video Processing, 2024 (IF: 2.3)
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138. Muthumanikandan V., George T.T., Harendra R.K., Enhanced model-driven web application development with code generation using deep learning technique, Intelligent Decision Technologies, 2024 (IF: 1.0)
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164. Bhuvaneshwari K.S., Rama Parvathy L., Chatrapathy K., Krishna Reddy C.V., An internet of health things-driven skin cancer classification using progressive cyclical convolutional neural network with ResNexT50 optimized by exponential particle swarm optimization Biomedical Signal Processing and Control, 2024 (IF: 5.1)
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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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2. Ilakiyaselvan N., Khan A.N., Shahina A. , Reconstructed phase space portraits for detecting brain diseases using deep learning ,journal of Biomedical Signal Processing and Control, 2022,(IF:3.88)
3. Sreenivasa Chakravarthi S., Jagadeesh Kannan R., Anantha Natarajan V., Gao X.-Z., Deep Learning Based Intrusion Detection in Cloud Services for Resilience Management , Computers, Materials and Continua, 2022,(IF:3.772)
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69. P D., C G., A systematic review on machine learning and deep learning techniques in cancer survival prediction, Progress in Biophysics and Molecular Biology,2022 (IF: 4.799)
70. Samantra A., Sa P.K., Nguyen T.N., Sangaiah A.K., Bakshi S., On the Usage of Neural POS Taggers for Shakespearean Literature in Social System, IEEE Transactions on Computational Social Systems, 2022 (IF: 4.747)
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72. Joseph R.V., Mohanty A., Tyagi S., Mishra S., Satapathy S.K., Mohanty S.N., A hybrid deep learning framework with CNN and Bi-directional LSTM for store item demand forecasting, Computers and Electrical Engineering, 2022 (IF: 4.152)
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75. Pal A., Chowdhury A., Satakshi, NarmanH.S., Chowdhury A., Kumar M., Random Partition based Adaptive Distributed Kernelized SVM for Big Data, IEEE Access, 2022 (IF: 3.476)
76. Gayathri R., Rani S.U., Čepová L., Rajesh M., Kalita K., A Comparative Analysis of Machine Learning Models in Prediction of Mortar Compressive Strength, Processes, 2022 (IF: 3.352)
77. Sivanesan I., Muthu M., Kannan A., Pushparaj S.S.C., Oh J.-W., Gopal J., Identification of Epigallocatechin-3-Gallate (EGCG) from Green Tea Using Mass Spectrometry, Separations, 2022 (IF: 3.344)
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83. Bhuvaneshwari P., Rao A.N., Robinson Y.H., Top-N Recommendation System Using Explicit Feedback and Outer Product Based Residual CNN, Wireless Personal Communications, 2022    (IF: 2.017)
84. Rahim R., Ramachandran M., Jayachandran P., Kalyanaraman H., Bhaskar V., Kumar A., Holistic Feistel Authenticated Learning-`Based Authorization for Protecting the Internet of Things from Cyber Attacks, Wireless Personal Communications, (IF: 2,017)
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87. Kumar T., Sankaran K.S., Ritonga M., Asif S., Sathiya Kumar C.,Mohammad S., Sengan S., Asenso E., Fuzzy Logic and Machine Learning-Enabled Recommendation System to Predict Suitable Academic Program for Students, Mathematical Problems in Engineering, 2022 (IF: 1.430)
88. Sathyaraj R., Kanthavel R., Cavaliere L.P.L., Vyas S., Maheswari S., Gupta R.K., Raja M.R., Dhaya R., Gupta M.K., Sengan S., Analysis on Prediction of COVID-19 with Machine Learning Algorithms, International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 2022 (IF: 1.027)
89. David H.B.F., Suruliandi A., Raja S.P., Predicting Corona Virus Affected Patients Using Supervised Machine Learning, International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 2022, (IF: 1.027)
90. Anam M., Setiawan R., Chinnappan S.K., Nik Hashim N.A.A., Mehbodniya A., Bhargava C., Sharma P.K., Phasinam K., Subramaniyaswamy V., Sengan S., Analyzing the Impact of Lockdown in Controlling COVID-19 Spread and Future Prediction, International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 2022 (IF: 1.027)
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94. Anirudh S., Shaan Sundar R., Ganapathy S. A New Cryptosystem for Secured Data Communications in Plagiarism Checking Process Using Blockchain Technology, Wireless Personal Communications, 2022 (IF 2.017)
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97. Priyadarshini R., Quadir Md A. , Rajendran N., Neelanarayanan V., Sabireen H., Anenhanced encryption-based security framework in the CPS Cloud, Journal of Cloud Computing, 2022,    (IF 3.418)
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100. Md A.Q., Jaiswal D., Daftari J., Haneef S., Iwendi C., Jain S.K., Efficient Dynamic Phishing Safeguard System Using Neural Boost Phishing Protection, Electronics (Switzerland), 2022,    (IF 2.690)
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1. Poongodi, M., Sharma, A., Vijayakumar, V., Bhardwaj, V., Sharma, A. P., Iqbal, R., & Kumar, R. (2020). Prediction of the price of Ethereum blockchain cryptocurrency in an industrial finance system. Computers & Electrical Engineering, 81(1), 106527. (IF : 2.189)
2. Sukumar, A., Subramaniyaswamy, V., Vijayakumar, V., & Ravi, L. (2020). A secure multimedia steganography scheme using hybrid transform and support vector machine for cloud-based storage. Multimedia Tools and Applications, 1-25. (IF : 2.101)
3. Sethuraman, S. C., Vijayakumar, V., & Walczak, S. (2020). Cyber Attacks on Healthcare Devices Using Unmanned Aerial Vehicles. Journal of Medical Systems, 44(1), 29. (IF : 2.415)
4. Rajesh, K. B. (2018). Cybernetic microbial detection system using transfer learning. Multimedia Tools and Applications, 1(1), 1-18. (IF : 2.101)
5. Geetha, R., & Geetha, S. (2020). Embedding electronic patient information in clinical images: an improved and efficient reversible data hiding technique. Multimedia Tools and Applications, 1(1), 1-22. (IF : 2.101)
6. Geetha, R., & Geetha, S. (2020). Efficient high capacity technique to embed EPR information and to detect tampering in medical images. Journal of Medical Engineering & Technology, 1(1), 1-14. (IF : 1.4)
7. Suresh Kumar, D., & Jagadeesh Kannan, R. (2020). Reinforcement learning-based controller for adaptive workflow scheduling in multi-tenant cloud computing. The International Journal of Electrical Engineering & Education, Online First, 0020720919894199. (IF : 0.941)
8. Chakravarthi, S. S., & Kannan, R. J. (2020). Detection of anomalies in cloud services using network flowdata analysis. The International Journal of Electrical Engineering & Education, Online First, 0020720920901436. (IF : 0.941)
9. Sarobin, M. V. R. (2020). Optimized Node Deployment in Wireless Sensor Network for Smart Grid Application. Wireless Personal Communications, 111(3), 1431-1451. (IF : 0.929)
10. Rai, A. & Kannan, R. J. (2020). IP traffic modelling in scalable drone network for carrying scalable logistic operations. Wireless Personal Communications. Article in Press. (IF : 0.929)
11. Rekha, D. (2020). Sustainability modelling and green energy optimisation in microgrid powered distributed Fog Micro Data Centers in rural area. Wireless Networks, 1(1), 1-14. (IF : 2.405)
12. Jackson, C. J., Rekha, D., Vijayakumar, V., Carvalho, G. H. S. (2020) Optimal broadcast scheduling method for VANETs: an adaptive discrete firefly approach. Journal of Intelligent Fuzzy Systems, Accepted. (IF : 1.637)
13. Nancy, P., Muthurajkumar, S., Ganapathy, S., Kumar, S. V. N., Selvi, M., & Arputharaj, K. (2020). Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks. IET COMMUNICATIONS, 14(5), 888-895. (IF : 1.779)
14. Kalidoss, T., Rajasekaran, L., Kanagasabai, K., Sannasi, G., & Kannan, A. (2020). QoS aware trust based routing algorithm for wireless sensor networks. Wireless Personal Communications, 110(4), 1637-1658. (IF : 0.929)
15. Pandiyaraju, V., Logambigai, R., Ganapathy, S., & Kannan, A. (2020). An Energy Efficient Routing Algorithm for WSNs Using Intelligent Fuzzy Rules in Precision Agriculture. Wireless Personal Communications, 1(1), 1-17. (IF : 0.929)
16. Ramasamy, J., & Kumaresan, J. S. (2020). Image Encryption and Cluster Based Framework for Secured Image Transmission in Wireless Sensor Networks. Wireless Personal Communications, 1(1), 1-14. (IF : 0.929)
17. Kirthica, S., Saravanan, I., & Sridhar, R. (2020). Enhancing the Cloud Inter-operation Toolkit (CIT) to support multiple cloud service models. Journal of Grid Computing. Available Online. (IF : 3.288)
18. Chakravarthi, K. K., Shyamala, L., & Vaidehi, V. (2020). Budget aware scheduling algorithm for workflow applications in IaaS clouds. Cluster Computing, 1(1), 1-15. (IF : 2.04)
19. Chakravarthi, K. K., Shyamala, L., & Vaidehi, V. (2020). TOPSIS inspired Cost-Efficient Concurrent Workflow Scheduling Algorithm in Cloud. Journal of King Saud University-Computer and Information Sciences, 1(1), 15. (IF : 1.897)

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

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

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

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)
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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.
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56. Harshini, K.S., Rohini, T., Bansal, R., & Kannan, R.J. (2016). Neural model for ingredient level based multimodal cuisine recognition. International Journal of Pharmacy and Technology (IJPT), 8(3), 18734-18741.
57. Prabakaran,N., & Kannan, R.J. (2016). A smart wireless access infrastructure for ubiquitous environment in healthcare. International Journal of Pharma and Bio Sciences, Special Issue on Health Care Technology & Management, 1(1), 239 – 244.
58. Umadevi, K.S., & Kannan, R.J. (2016). F-MAC: an optimal clustering based fault tolerant system for underwater acoustic sensor networks. International Journal of Pure and Applied Mathematics, 109 (8), 177 – 184.
59. Mishra, V., Jain, H., Nagra, A., Naresh, K., & Kannan, R.J. (2016). Queuing models for mobile communication approaches. International Journal of Pharmacy & Technology, 8(4), 5291 – 5302.
60. Prabhakaran, R., & Asha, S. (2016). Enhancing cyber security on substation automation using RGK algorithm. International Journal of Control Theory and Applications, 9 (51), 217 -224.
61. Ismail, A.S., & Asha, S. (2016). Data security in cloud computing by using three tier method. International Journal of Control Theory and Applications, 9 (51), 123-132.
62. Prabhakaran, R., & Asha, S. (2016). Enhancing cyber security on substation automation using RSA algorithm. International Journal of Control Theory and Applications. 9 (51), 225-232.
63. Annamalai, C., & Asha, S. (2016). Energy efficient resource allocation techniques in cloud: a review. International Journal of Control Theory and Applications, 9 (52), 141-146.
64. Venkatesh, A., & Asha, S. (2016). intrusion detection system using modified particle swarm optimization. International Journal of Control Theory and Applications, 9 (52), 283-292.
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72. Mathew, T., Rao, U.S & Jeganathan, L. (2016). Cellular automata: a decision support system for stock market trading, International Journal of Computational Economics and Econometrics, 6(4), 366-378.
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84. Jothi, R., Mohanty, S. K., & Ojha, A. (2016). Functional grouping of similar genes using eigenanalysis on minimum spanning tree based neighborhood graph. Computers in biology and medicine, 71, 135-148.
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5. Rao, B.P., (2020). AI based e-healthcare in rural areas. International Journal of Innovative Technology and Exploring Engineering (IJITE), 9(3), 3098-3104.
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9. Jain, S., & Shyamala, L. (2020, February). A review on suitable execution environment for executing parallel workloads with mapreduce and spark. International Journal of Scientific and Technology Research(IJSTR), 9(2), 5595-5599.
10. Daniel, D.C., & Shyamala, L. (2020, March). Hybrid CNN classification for sentiment analysis under deep learning. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9(5), 1473-1480.
11. PS, M. G., & Chintala, B. R. (2020). Big data challenges and opportunities in agriculture. International Journal of Agricultural and Environmental Information Systems (IJAEIS), 11(1), 48-66.
12. Prassanna, J., Quadir, M.A., Jackson,J.C., Prabakaran, R., & Ramanathan, S. (2020, March). Secrecy protector: a novel data analytics based credit score management system. International Journal of Scientific and Technology Research (IJSTR), 9(3),1215-1218.
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19. Pramod, S., & Jayasudha, M. (2020). Multi-root symmetrical encryption preservation sequence scheme in EHR using cloud. Journal of Discrete Mathematical Science and Cryptography (JDMSC), 22(7), 70-87.
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21. Sudhakara, M., & Meena, M.J. (2020, April). An edge detection mechanism using L*A*B color-based contrast enhancement for underwater images. Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), 18(1), no. 41-48.
22. Balasundaram, A. (2020). Computer vision based detection of partially occluded faces, International Journal of Engineering & Advanced Technology (IJEAT), 9(3), 2188-2200.

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

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

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54. Subramanian, C.B., Hemalatha, J., Balakannan, S.P & Geetha, S. (2019, December). Improving image steganalyser performance using second order spam features extracting through contourlet transform. International Journal of Engineering and Advanced Technology (IJEAT), 9(IS4), 137-143.
55. Punithavathi, P., & Geetha, S. (2019, December). Cancelable biometric transformations for e-passport security. International Journal of Engineering and Advanced Technology (IJEAT), 9(1S3), 342-346.
56. Geetha, R., & Geetha, S. (2019, December). Multi-layered ‘odd-even’ reversible embedding for encrypted images. International Journal of Engineering and Advanced Technology (IJEAT), 9(1S3), 347-351.
57. Roseline, S.A., & Geetha, S. (2019, December). An efficient malware detection system using hybrid feature selection methods. International Journal of Engineering and Advanced Technology (IJEAT), 9(1S3), 224-228.
58. Gopal, R., Phamila, Y.A.V & Geetha, S. (2019, June). A hand geometry verification system relating finger length, position of the finger base and palm center. International Journal of Engineering and Advanced Technology (IJEAT), 8(5), 1974 – 1979.
59. P Balamurugan, S. A. A., Chitra, P. K. A., & Geetha, S. (2019). Multi label learning approaches for multi species avifaunal occurrence modelling: a case study of south eastern Tamil Nadu. International Journal of Business Intelligence and Data Mining, 15(4), 449-477.
60. Hemalatha, J., Devi, M. K., & Geetha, S. (2019). Enhancing the JPEG image steganography security by RSA and attaining high payload using advanced DCT replacement method and modified quantisation table. International Journal of Business Intelligence and Data Mining, 14(1-2), 138-154.
61. Sandhya, P., & Kantesaria, M. (2019, April). Prediction of mental disorder for employees in IT industry. International Journal of Innovative Technology and Exploring Engineering(IJITEE),8(6S), 374-376.
62. Venugopal Boppana, S. P. (2019). Focused crawling from the basic approach to context aware notification architecture. Indonesian Journal of Electrical Engineering and Computer Science, 13(2), 492-498.
63. Wagdarikar, R.R & Sandhya, P. (2019, December). Parallelism in web services: design of parallel XML parser for web services. Indonesian Journal of Electrical Engineering and Computer Science, 16(3),1407-1415.
64. Nivedita, M., Phamila, Y.A.V., & Harsh, P.V. (2019, June). Captioning for motion detection for video surveillance applications using deep learning. International Journal of Innovative Technology and Exploring Engineering (IJITEE) , 8(8),3180-3185.
65. Nivedita, M., & Phamila, Y.A.V. (2019, October). Image captioning for affine transformed images using image hashing. International Journal of Engineering and Advanced Technology (IJEAT), 9(1), 4736-4741.
66. Kalaivani,K., Phamila, Y.A.V., Selvaperumal, S.K. (2019, October). Random forest classifier for extracting water bodies from pansharpened image to detect surface water changes. International Journal of Engineering and Advanced Technology (IJEAT), 9(1), 4910-4915.
67. Arshad, Anbarasi, L. J., & Narendra, M., Pushbarani, S., & Dhanya. (2019). Investigating the effect of social media campaign on german 2017 elections. International Journal of Recent Technology and Engineering (IJEAT),5, 2123-212.
68. Murali, S., Narayanan, S., & Prasanna, D., Anbarasi, L.J. (2019). Backtracking based joint-sparse signal recovery for distributed compressive sense. International Journal of Innovative Technology and Exploring Engineering (IJITEE) ,12(1), 3919-3922.
69. Surianarayanan, B., Pandian A,S., & Narayanan, S., Anbarasi, L.J. , & Raj, B.E. (2019). Estimation of percentage of adulteration using structural similarity index .International Journal of Innovative Technology and Exploring Engineering, 5(12), 2129-2132.
70. Singh, S., & Jasmine, S. G. (2019). Face recognition system. International Journal of Engineering Research & Technology (IJERT), 8(5), 263-266.
71. Dudeja, K., Baidya, S., & Gupta, S. S., & Jasmine, S.G. Low-cost 3DOF virtual reality first aid training programs. International Journal of Engineering and Advanced Technology (IJEAT), 8(5), 693-696.
72. Shukla, U., Mishra, A., Jasmine, S. G., Vaidehi, V., & Ganesan, S. (2019). A deep neural network framework for road side analysis and lane detection. Procedia Computer Science, 165, 252-258.
73. Singh, R.K., & Sivabalakrishnan, M. (2019, August). Classification of microarray gene expression data using a hybrid approach of mRMR and AGA. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(10), 706-713.
74. Jeeva, S., & Sivabalakrishnan,M. (2019, September). Utilising P300 via non-invasive brain computer interface to control wheelchair. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(11), 3329-3333.
75. Naidu, C., Kumar, D., Maheswari, N., Sivagami, M., &Li, G. (2019, April). Prediction of alzheimer’s disease using oasis dataset. International Journal of Recent Technology and Engineering (IJRTE), 7(6S3), 36-42.
76. Ravi. R., Sowmiyasree, Maheswari, N., & Sivagami,M. (2019, October). Improving the performance of hadoop framework using optimization process in the information management. Advances in Science, Technology and Engineering Systems Journal (ASTESJ), 4(5),327-333.
77. M Sivagami, M., Revathi, T., & Jeganathan, L. (2019). Dynamic background modelling using multi-swarm optimisation. International Journal of Bioinformatics Research and Applications, 15(1), 68-90.
78. Giri, B., Sivagami, M., & Maheswari, N. (2019, April). Frequent item set mining for data streaming using spark with pincer search algorithm. International Journal of Recent Technology and Engineering, 7(6), 40-45.
79. Bhavana, V., Ramesh, V., & Sivagami, M. (2019, June). Implementing discrete cuckoo search algorithm for TSP using MPI and beowulf cluster. International Journal of Innovative Technology and Exploring Engineering (IJITEE),8(8),554-560,
80. Karande, S., Shelake, A., Sivagami, M., & Sophia, S. (2019, May). Prediction of employee retention using cassandra and ensemble learning. International Journal of Recent Technology and Engineering, Volume-8, Issue-1,Page No: 508-512, May’2019,Scopus
81. Aiswarya, B., Sharma, A., Chakraborty, R., Malathi, G., Kumar, T.R. (2019, March). Image processing based edibility analysis of spinach leaves using machine learning approach. International Journal of Recent Technology and Engineering (IJRTE), 7(6), 2097-2101.
82. Diviya, M., Malathi, G., & Karmel, A. (2019, November). Regression based model for prediction of heart disease recumbent. International Journal of Recent Technology and Engineering (IJRTE), 8(4), 6639-6642.
83. Murugesan, R., Sudarsanam, S.K., Malathi, G.,Vijayakumar, V., Neelanarayanan, V., Venugopal, R., Rekha, D., Saha, S., Bajaj, R., Miral, A., & Malolan, V. (2019, July). Artificial intelligence and agriculture 5. 0, International Journal of Recent Technology and Engineering(IJRTE), 8(2), 1870-1877.
84. Jackson, J.C., Rekha, D., Vijayakumar, V., & Prasath, V. B. S. (2019). Broadcast scheduling problem in VANETS: a discrete genetic algorithm approach. International Journal of Recent Technology and Engineering(IJRTE), 7 (6s), 360-366.
85. Jackson, J.C., & Singh, A. (2019). Fire alert system using real-time video processing. International Journal of Innovative Technology and Exploring Engineering(IJITE) , 8(7), 1008-1010.
86. Devi, V.K., & Ganesan, R. (2019). Trust-based selfish node detection mechanism using beta distribution in wireless sensor network. Journal of ICT Research and Applications, 13(1), 79-92.
87. Gayathri, R., & Neelanarayanan, V. (2019, August). Moving target defense strategy for mitigating distributed denial of service attack in the public cloud environment. International Journal of Engineering and Advanced Technology, 8(6), 1112-1115.
88. Gayathri, R., & Neelanarayanan, V. (2019). Identification of regression function and distribution model for denial of service attack in Second Life online community using simple network management protocol. International Journal of Web Based Communities, 15(3), 225-237.
89. Sri Vidya, B., Sriraman, H., & Rukmani, P. (2019). Optimized multi-threading to balance energy and performance efficiency. International Journal of Recent Technology and Engineering, 7(6), 599-60.
90. Rai, A., Vishwkarma, R., & Panjanathan, R. (2019). Automatic plant irrigation system with real time notification. International Journal of Recent Technology and Engineering, 8(1), 1428-1430.
91. Rani. S.U., & Neelanarayanan V. (2019). Control of anesthesia concentration using PID controller. International Journal of Innovative Technology and Exploring Engineering, 8(6), 356-360.
92. Rani. S.U., & Neelanarayanan V. (2019). BIS performance for CLAD PK-PD model. International Journal of Engineering and Advanced Technology (IJEAT), 8(5), 837-843.
93. Kumar, K.A., Vengatesan., Vincent, R., Rajesh, M., & Singhal, A. (2019). “A novel arp approach for cloud resource management. International Journal of Recent Technology and Engineering (IJRTE), 7(5), 260-262.
94. Venkatraj, S., Vincent, R., Vijayakumar, V., Vengatesan, K., & Rajesh, M. (2019). Development of test automation framework for REST API testing. Journal of Computational and Theoretical Nanoscience, 16(2), 453-457.
95. Vincent, R., & Vijayakumar, V. (2019). An enhanced virtual reality method for diagnosing autistic children. International Journal of Recent Technology and Engineering (IJRTE), 8(2), 3362-3365.
96. Preetha, A.D., & Kumar, T.S.P. (2019). Leveraging fog computing for a secure and smart healthcare, International Journal of Recent Technology and Engineering (IJRTE), 8(2), 6177–6182.
97. Quadir, M.A., & Vijayakumar, V. (2019). Combined preference ranking algorithm for comparing and initial ranking of cloud services, Recent Advances in Electrical and Electronic Engineering, 13(2), 260 – 275.
98. Md, A. Q., & Vijayakumar, V. (2019). Dynamic ranking of cloud services for web-based cloud communities: efficient algorithm for rating-based discovery and multi-level ranking of cloud services. International Journal of Web Based Communities, 15(3), 248-270.
99. Matthew, K. M., Muhammed, A. Q., & Varadarajan, V. (2019). An improved key management scheme in cloud storage. International Journal of Advanced Intelligence Paradigms, 14(3-4), 197-203.
100. Shubankar, B., Chowdhary, M., & Priyaadharshini, M. (20I9). IoT device for disabled people. Procedia Computer Science, 165, 189-195.
101. Murali, M., Bhargava, M., Snehaa, G., Anand, A., Haque, M.A., Sarobin. M. V.R. (2019). Data analytics on IoT-based health monitoring system. Journal of Recent Technology and Engineering (IJRTE), 8(1), 220-223.
102. Parthasarathy, E., Vaidyanathan, P., Akshay, N., Vimal, J., Manikandan, R., Prassanna, J., Kumar, A., & Daniel, W.C.S. (2019). Development of required power point tracking algorithm for standalone solar photovoltaic inverter. International Journal of Recent Technology and Engineering (IJRTE), 7(6), 1578-1582.
103. Manikandan, R., Parameshwaran, R., Prassanna, J., & Sekar, K.R. (2019). A study on specific computational algorithms for VLSI cell partitioning problems. International Journal on Emerging Technologies, 10(2), 67-70.
104. G. Manikandan, Krishnan, R.B., Preethivi, E., Sekar, K.R., Manikandan, R., & Prassanna, J. (2019). An Approach with steganography and scrambling mechanism for hiding image over images. International Journal on Emerging Technologies ,10(1), 64-67.
105. Sethuraman, J., Manikandan, R., Sekar, K.R., Prassanna, J., & Kumar, A. (2019). Classic search for dominant factors in web pages using search engines and validation through data analytics using R. International Journal on Emerging Technologies, 10(2), 117-121.
106. Rajarajeswari, S., & Neelanarayanan, V. (2019). Dynamic rule generation and rule matching for composite environmental condition in context aware system. Wireless Networks, 1-9.
107. Venkatesh, R., Ragala, R., & Kannan, R.J. (2019). Squeezing deep learning into mobile devices. International Journal of Recent Technology and Engineering(IJRTE), 7(6S), 902 – 906.
108. Jaya, R., Pillai, C.S., & Kannan, R.J. (2019). Hybrid fuzzified fish school search based learning method for prakriti analysis. Journal of Advanced Research in Dynamical and Control Systems, 11(2), 1777 – 1784.
109. Prabhakaran, R., & Asha, S. (2019, May). Enhancing cyber security in power sector systems using block chain. International Journal of Recent Technology and Engineering, 8(1), 58-62.
110. Prabhakaran, R., & Asha, S. (2019, July). Enhancing cyber security in power sector using machine learning. International Journal of Innovative Technology and Exploring Engineering, 8(9), 3382-3386.
111. Jayanthi, R., & Singh, K. J. (2019). A public key-based encryption and signature verification model for secured image transmission in network. International Journal of Internet Technology and Secured Transactions, 9(3), 299-312.
112. Jayanthi, R., & Singh, K. J. (2019). Image encryption techniques for data transmission in networks: a survey. International Journal of Advanced Intelligence Paradigms, 12(1-2), 178-191.
113. Sathyarajasekaran, K., & Ganesan, R. (2019). A novel process using impact analysis over requirement phase with impact transition model. Test Engineering and Management, 81(11-12), 4435-4445.
114. Sathyarajasekaran, K., & Ganesan, R. (2019). An approach on software readiness workflow with change impact analysis (SRW-CIA). International Journal of Innovative Technology and Exploring Engineering, 8(7), 284-288.
115. Devi, T., & Ganesan, R. (2019). Environmental benefits of enhanced hecc-elgamal cryptosystem for security in cloud data storage using soft computing techniques. Ekoloji, 28(107), 665-677.
116. Geetha, M., Ganesan, R., & Sai, T. (2019). Performance analysis of the machine learning algorithms on heart condition predictions. International Journal of Recent Technology and Engineering, 8(4), 975-981.
117. Dutta, S., Parvathi, R., & Ganesan, R., (2019). Threat identification and examination using graph based anomaly detection. International Journal of Engineering and Advanced Technology, 9(1), 7510-7513.
118. Jayasudha, M., & Subbulakshmi, T. (2019). an efficient attribute encryption for secure data sharing and storage in public and private clouds-a survey. International Journal of Recent Technology and Engineering,8(1C2), 1185-1189.
119. Jayasudha M, Subbulakshmi T. “A Comparative Study of Attribute based Encryption of Electronic Health Records in Cloud”, Journal of Advanced Research in Dynamical and Control Systems, Volume 11, 07-Special Issue, pp. 230-247, 2019.
120. Dhanapal, A., & Nithyanandam, P. (2019). The HTTP flooding attack detection to secure and safeguard online applications in the cloud. International Journal of Information System Modeling and Design (IJISMD), 10(3), 41-58.
121. Dhanapal, A., & Nithyanandam, P. (2019). A review of cloud computing adoption issues and challenges”, Recent Patents on Computer Science, 12, 1-6.
122. Dhanapal, A., & Nithyanandam, P. (2019). The slow HTTP DDoS attacks: detection, mitigation and prevention in the cloud environment. Scalable Computing: Practice and Experience, 20(4), 669-685.
123. Dhanapal, A., & Nithyanandam, P. (2019). The slow HTTP distributed denial of service attack detection in cloud. Scalable Computing: Practice and Experience, 20(2), 285-298.
124. Kapadia, A. M., & Nithyanandam, P. (2019). Secured reversible matrix embedding based on dual image using integer wavelet and arnold transform. Procedia Computer Science, 165, 766-773.
125. Karmel, A., Sharma, A., & Garg, D. (2019). IoT based assistive device for deaf, dumb and blind People. Procedia Computer Science, 165, 259-269.
126. Adhithiyan, M., & Karmel, A. (2019). Novel approach of deep learning in toxicity prediction. International Journal of Recent Technology and Engineering (IJRTE), 7(54), 698-704.
127. Jagtap, M. M., & Devi, S. R. (2019). Securing 5G het nets in SDN using authentication. International Journal of Innovative Technology and Exploring Enginering, 8(8), 1297-1303.
128. Monali, P., Mohite, S., & Devi, R. (2019). Design and implementation of ASCII based method for author attribution. International Journal of Innovative Technology and Exploring Enginering, 8(9), 1963-1967.
129. Venkatesh, A., & Asha, S. (2019, July). Detecting denial of service attack in wireless sensor network using energy Efficient Extreme Learning Neural Network (EEELNN). International Journal of Recent Technology and Engineering (IJRTE), 8(2), 5913-5918 .
130. Asha, S., & Angel, C. (2019). Creating a smart agricultural environment using ambient intelligent technique. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(10), 1010-1015.
131. Asha, S., & Sarojini, S. (2019). Botnet detection on the analysis of zeus panda financial botnet. International Journal of Engineering and Advanced Technology (IJEAT), 8(6),1972-1976.
132. Devi, B. K., Dudeja, K., John, A. V., Marcin, K., & Subbulakshmi, T. (2019). Symmetric measure of network traffic using packet ratio and packet symmetry. Procedia Computer Science, 165, 112-118.
133. Devi, B. K., & Subbulakshmi, T. (2019). “Adaptive Learning and Automatic Filtering of Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environment”, International Journal of Engineering and Advanced Technology, 9(1S3), 200-205.
134. Devi, B. K., & Subbulakshmi, T. (2019). Cloud-based DDoS attack detection and defence system using statistical approach. International Journal of Information and Computer Security, 11(4-5), 447-475.
135. Manjaly, J. S., & Subbulakshmi, T. (2019). TaskTracker aware scheduler with resource availability control for Hadoop MapReduce. International Journal of Advanced Intelligence Paradigms, 14(3-4), 359-374.
136. Sundararaman, S. A., & SubbuLakshmi, T. (2019). Execution of scientific workflows on IaaS cloud by PBRR algorithm. International Journal of Computational Science and Engineering, 19(4), 455-463.
137. Prabhakaran, R., & Asha, S. (2019, July). Analysis of cyber attacks vulnerabilities in electrical power systems. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(9), 925-928.
138. Nisha, V. M., & Jeganathan, L. (2019). A symmetry based anomaly detection in brain using cellular automata for computer aided diagnosis. Indonesian Journal of Electrical Engineering and Computer Science, 14(1), 471-477.
139. Patro, S.J. , & Nisha, V.M. (2019). Early detection of alzheimers disease using image processing. International Journal of Engineering Research and Technology, 8(5), 468-471.
140. Patro, S.J., & Nisha, V. M. (2019). Real time Video Analytics for object detection and face identification. International Journal of Engineering Research and Technology, 8(5), 462-467.
141. Lakshmi, D.V., & Jeganathan, L. (2019). Graph Self-Replication System. Complex systems, 28(3), 313-323.
142. Sivagami, M., Revathi, T., & Jeganathan, L. (2019). Dynamic background modelling using multi-swarm optimisation. International Journal of Bioinformatics Research and Applications, 15(1), 68-90.
143. Daniel, D. C., & Shyamala, L. (2019, August). An insight on sentiment analysis research from text using deep learning methods. International Journal of Innovative Technology and Exploring Engineering, 8(10), 2033-2048.
144. Vijayakumar, D.S., & Ganapathy, S. (2019). Feature reduction using lasso hybrid algorithm in wireless intrusion detection system. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(11), 1476-1483.
145. Kavin, B. P., & Ganapathy, S. (2019). A novel M-commerce data security mechanism using elliptic curve cryptography. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(10), 847-851.
146. Rajeswari, A.R., Kulothungan, K., Ganapathy, S., & Kannan, A. (2019). Trust aware SVM based IDS for mitigating the malicious nodes in MANET. International Journal of Innovative Technology and Exploring Engineering, 8(8), 185-197.
147. Prabha, A. J., Bhargavi, R., & Harish, B. (2019). Predictive model for dyslexia from eye fixation events. International Journal of Engineering and Advanced Technology,9(3), 2249 – 8958.
148. PS, M. G., & Bhargavi, R. (2019). Selection of Important Features for Optimizing Crop Yield Prediction. International Journal of Agricultural and Environmental Information Systems (IJAEIS), 10(3), 54-71.
149. Arumugam, S., & Bhargavi, R. (2019). A survey on driving behavior analysis in usage based insurance using big data. Journal of Big Data, 6(1), 86.
150. Kumar, J. S., & Maheswari, N. (2019). Privacy preservation analysis in social network graphs for avoiding community detection and publishing sensitive information’ International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(6), 888 – 893.
151. Kumar, G.B., & Phull, D.K. (2019). Efficient search mechanism from large scale corpora for domain-specific language modeling in speech recognition, International Journal of Engineering and Advanced Technology (IJEAT), 8-6, 1682-1689.
152. Saluja, G. S., & Maheswari, N. (2019). Comparative Study to Predict the Kidney Disease for the Clinical Data Using Classification Techniques. Indian Journal of Public Health Research & Development, 10(8), 73-77.
153. Kumar, J.S, & Maheswari, N. (2019). Privacy preservation analysis in social network graphs for avoiding community detection and publishing sensitive information. International Journal of Innovative Technology and Exploring Engineering, 8(6),888–893.
154. Chandiramani, K., Garg, D., & Maheswari, N. (2019). Performance Analysis of Distributed and Federated Learning Models on Private Data. Procedia Computer Science, 165, 349-355.
155. Balasundaram, A., & Chellappan, C. (2019). Computer vision based system to detect abandoned objects. International Journal of Engineering & Advanced Technology (IJEAT), 9(1), 4000-4010.
156. Balasundaram, A., Kumar, S.A., & Kumar, S.M. (2019). Optical flow based object movement tracking. International Journal of Engineering & Advanced Technology (IJEAT), 9(1), 3913-3916.
157. Pradeep, K. V., & Vijayakumar, V. (2019, August). Energy-efficient consolidation of virtual machines in cloud data centers. International Journal of Engineering and Advanced Technology(IJEAT), 8(6), 446-449.
158. Pradeep, K. V., & Vijayakumar, V. (2019, June). Secure key management system in cloud environment for client data. International Journal of Engineering and Advanced Technology(IJEAT), 8(6), 1490-1496.
159. Pradeep.K. V., Vijayakumar, V., & Sathiyanarayanan, M. (2019, May). Visual analytics on spatial time series for environmental data. International Journal of Recent Technology and Engineering(IJRET), 8(1C2), 1173-1181.
160. Pradeep.K. V., & Vijayakumar, V. (2019, May). A proposed client based key management framework to secure information in cloud storage for public SaaS”, International Journal of Recent Technology and Engineering(IJRET), 8(1), 2148-2153, May 2019.
161. Sowmiyasree, R. R., Maheswari, N., & Sivagami, M. (2019). Improving the performance of hadoop framework using optimization process in the information management. Advances in Science, Technology and Engineering Systems, 4(5), 327–333.
162. Giri, B., Sivagami, M., & Maheswari, N. (2019). Frequent item set mining for data streaming using spark with pincer search algorithm. International Journal of Recent Technology and Engineering, 7(6), 40–45.

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

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

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

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

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

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

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

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

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

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

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

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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.
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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.
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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.
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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
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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.
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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.
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142. Ashish, M., Kumar, S., & Muralidhar, A. (2017). Employee performance appraisal system based on ranking and reviews. Entropy, 1, 1.
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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.
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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.
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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.
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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.
16. Merry, K. P., Singh, R. K., & Kumar, S. S. (2012). Apriori-hybrid algorithm as a tool for colon cancer microarray data classification. International Journal of Engineering Research and Development, 4(1), 53-57.
17. Bhargavi, R., & Gumparthi, S. (2015). Credit risk management model optimization using complex event processing. International Journal of Applied Engineering Research, 10(3), 6353-6362.
18. Hussain, S.H., Geetha, S., & Prabakar, M.A. (2015). Listing past, current, and upcoming research in ubiquitous computing – a review. International Journal of Applied Engineering Research, 10(55), 2142-2145.
19. Sivakumar, T.B., Geetha, S., & Prabakar, M.A. (2015). Role based access control policy in secure sharing healthcare data using multi cloud. International Journal of Applied Engineering Research, 10(55), 2302-2307.
20. Seema, S.S., Maheswari, M., Selvakumar, S., & Geetha, S. (2015). Reckoning trust in e-commerce by mining product reviews. International Journal of Applied Engineering Research, 10(55), 1875-1879.
21. Chitra, P.K.A., SA alias Balamurugan., & Geetha, S. (2015). Modeling and analysis of multi label classification algorithms. International Journal of Applied Engineering Research, 10(55), 1116-1121.
22. Nirmala, G., Geetha, S., & Selvakumar, S. (2015). Optimal long run cost path of mobile robot navigation using qlearning algorithm. International Journal of Applied Engineering Research, 10(9), 6867-6870.
23. Jasmine, G. S., & Pattabiraman, V. (2015). Hyperspectral image analysis using end member extraction algorithm. Int. J. Pure Appl. Math, 101, 809-829.
24. Gayathri, A. U., & Sivabalakrishnan, D. (2015, March). Face and foreground and background detection estimation using adaptive based algorithm in real time video’s, International Journal of Advanced Research in Computer and Communication Engineering, 4(3), 617-620.
25. Sivabalakrishnan, M., & Shanthi, K. (2015). Person Counting System Using EFV Segmentation and Fuzzy Logic. Procedia Computer Science, 50, 572-578.
26. Vignesh, R., & Sivabalakrishnan, M . (2015). a comparative study on blur families and their algorithmic applications methods to make an image restoration by image deblurring. International Journal of Scientific Progress and Research (IJSPR), 11(1), 8-11.
27. Sivagami, M., Revathi, T., & Jeganathan, L. (2015). Object detection with a hard shadow removal in a still image, International Journal of Applied Engineering and Research, 10(34), 27153-27157.
28. Malathi, G. (2015, July). Image fusion techniques for the assessment of multi-focus ultrasound placenta using quality metrics. International Journal of Applied Engineering Research, 10(12), 30761-30774.
29. Vijayalakshmi, A., & Kanna, B.R. (2015). Enhanced quality of service in visualizing the malaria data using cloud computing. ARPN Journal of Engineering and Applied Sciences, 10(5), 2061-2065.
30. Rajkumar, S., & Malathi, G. (2015). A novel approach for the recovery of de-focussed color images. International Journal on Recent Researches In Science ,Engineering & Technology, 5(3), 1.
31. Jackson, C., Vijayakumar, V., Subramaniyaswamy, V., & Anusooya, G. (2006). An insight on reputation based incentive scheme and throughput feedback routing in MANET’S. ARPN Journal of Engineering and Applied Sciences 10 (5), 1988-1992.
32. Rukmani, P., & Ganesan, R. (2015). Modified low latency queuing algorithm for real time applications in WIMAX networks. International Journal of Pure and Applied Mathematics, 101(5), 915-924.
33. Chauhan, A., Vijayakumar, V., Vincent, R., & Pradeep, K. V. (2015). Towards the Development of a Framework for Socially Responsible Software by Analyzing Social Media Big Data on Cloud Through Ontological Engineering. Procedia Computer Science, 50(1), 524-530.
34. Vetrivelan, P., Maharajan, S. S., Narayanasamy, P., Koushik, C. P., Ratheesh, R., & Kumar, T. P. (2015). Vertical handover and video streaming over cloud in 4g heterogeneous overlay wireless networks. International Journal of Engineering and Technology (IJET), 7(5). 1537-1547.
35. Srinivasan, A., Quadir, M. A., & Vijayakumar, V. (2015). Hybrid cloud for educational sector. Procedia Computer Science, 50, 37-41.
36. Srinivasan, A., Quadir, M. A., & Vijayakumar, V. (2015). Era of cloud computing: a new insight to hybrid cloud. Procedia Computer Science, 50, 42-51.
37. Maheswari, R., & Pattabiraman, V. (2015). Performance analysis of reconfigurable open soft core processor-or1200 with global hazard controller. International Journal of Pure and Applied Mathematics, 101(5), 849-858.
38. Priyaadharshini, M., & Sundaram, B.V. (2015). Teaching and Learning as a Service (TLaaS). International Journal of Applied Engineering Research, 10(34), 27183-27188.
39. Sarobin, M. V. R., & Ganesan, R. (2015). Swarm intelligence in wireless sensor networks: a survey. Int. J. Pure Appl. Math, 101(5), 773-807.
40. Prassanna, J., Punitha, K., & Neelanarayanan, V. (2015). Towards an Analysis of Data Accountability and Auditing for Secure Cloud Data Storage. Procedia Computer Science, 50(1), 543-550.
41. Vijaya, A., & Neelanarayanan, V. (2015). A model driven framework for portable cloud services: Proof of concept implementation. International Journal of Education and Management Engineering, 5(4), 27.
42. Rani. S.U., & Neelanarayanan V. (2015). Interoperable framework solutions to ICU health care monitoring. ICTACT Journal on Communication Technology, 6(1),1072-1079.
43. Karthikeyan, G.K., Jayachandran, J., & Neelanarayanan, V. (2015). Energy aware network scheduling for a data center. International Journal of Big Data Intelligence, Special Issue on: Big Data and Cloud Computing Challenges, 2(1), 37-44.
44. Kempanna, M., & Kannan, R. J. (2015). Anfis Based Multilayered Botnet Detection with Traffic Reduction Technique. Middle-East Journal of Scientific Research, 23(3), 426-431.
45. Shiny, X. A., & Kannan, R. J. (2015). Energy Efficient Clustering Protocol using Self Organizing Map in MANET. Indian Journal of Science and Technology, 8(28), 1.
46. Shiny, X.S.A., & Kannan, R.J. (2015). A novel multicast routing protocol based on SOM to minimize energy consumption in MANETs. International Journal of Applied Engineering Research (IJAER), 10(19), 39885-39890.
47. Arumugam, S., Jayaram, B., & Thulasiraman, K. (2015). Independent dominator sequence number of a graph. Procedia Computer Science, 74, 43-46.
48. Vignesh, U., & Asha, S. (2015). Modifying security policies towards BYOD. Procedia Computer Science, 50, 511-516.
49. Devi, T., & Ganesan, R. (2015). Platform-as-a-Service (PaaS): model and security issues. TELKOMNIKA Indonesian Journal of Electrical Engineering, 15(1), 151-161.
50. Devi, T., & Ganesan, R. (2015). Present, past and future challenges in cloud computing, International Journal of Applied Engineering Research, 10(44), 30735-30739.
51. Thiyagarajan, D., & Ganesan, R. (2015). Data Security Model Employing Hyperelliptic Curve Cryptography (HECC) and Secure Hash Algorithm-3 (SHA-3) in Cloud Computing. International Journal of Technology, 3, 327-335.
52. Suresh, K., & Pattabiraman, V. (2015), Investigation on ARM algorithm with incremental mining and proposing a new algorithm for streaming dataset”, Australian Journal of Basic and Applied Sciences, 9(6), 72-76.
53. Suresh, K., & Pattabiraman, V. (2015). An Improved Utility Itemsets Mining With Respect To Positive And Negative Values Using Mathematical Model. International Journal of Pure and Applied Mathematics, 101(5), 763-772.
54. Muralidhar, A., & Pattabiraman, V. (2015). An efficient association rule based clustering of XML documents. Procedia Computer Science, 50, 401-407.
55. Harini, S., & Pattabiraman, V. (2015). Hybrid multi-core Asic architecture with FPGA for self-repairing of hard faults. Int. J. Pure Appl. Math, 101(8), 905-914.
56. Rosaline, R. A. A., & Parvathi, R. (2010). Performance analysis of various text classification algorithms. Int. J. Pure Appl. Math, 101(5), 625-634.
57. Rekha, J. H., & Parvathi, R. (2015). Survey on software project risks and big data analytics. Procedia Computer Science, 50, 295-300.
58. Mary, S,A., & Suganya, G. (2015). Requirements prioritization – stakeholder identification and participation. International Journal of Applied Engineering Research, 10(34), 27230-27233.
59. Kumar, J.S., & Maheswari, N. (2015), A framework for security in data mining using intelligent agents. ARPN Journal of Engineering and Applied Sciences, 10(6), 2551–2560.
60. Maheswari N. & Kumar, J. S. (2015). A framework for security in data mining using intelligent agents. ARPN Journal of Engineering and Applied Sciences,10(6),1.
61. Chauhan, A., Vijayakumar, V., & Ragala, R. (2015). Towards a Multi-level Upper Ontology/foundation Ontology Framework as Background Knowledge for Ontology Matching Problem. Procedia Computer Science, 50, 631-634.
62. Nujella, S., & Pradeep, K. V. (2015). Supervisory service for cloud infrastructure and services. International Journal of Applied Engineering Research,10(55), 2866-2870.
63. Rajendran, V., & Kumar, G. B. (2015). Text processing for developing unrestricted Tamil text to speech synthesis system. Indian Journal of Science and Technology, 8(29), 112-124.
64. Kumar, B. (2015). An encyclopedic overview of big data analytics. International Journal of Applied Engineering Research,10(3), 5681-5705.
65. Subramaniyaswamy, V., Vijayakumar, V., Logesh, R., & Indragandhi, V. (2015). Unstructured data analysis on big data using map reduce. Procedia Computer Science, 50, 456-465.
66. Subramaniyaswamy, V., Vijayakumar, V., Logesh, R., & Indragandhi, V. (2015). Intelligent travel recommendation system by mining attributes from community contributed photos. Procedia Computer Science, 50, 447-455.
67. Va, S., Rb, L., Vc, V., & Vd, I. (2015). Automated message filtering system in online social network. Procedia Computer Science, 50, 466-475.
68. Jackson, J. C., Vijayakumar, V., Quadir, M. A., & Bharathi, C. (2015). Survey on programming models and environments for cluster, cloud, and grid computing that defends big data. Procedia Computer Science, 50, 517-523.
69. Bharathi, C., Vijayakumar, V., & Pradeep, K. V. (2015). An extended trust management scheme for location based real-time service composition in secure cloud computing. Procedia Computer Science, 50, 103-108.
70. Durgalakshmi, B., & Vijayakumar, V. (2015). Progonosis and modelling of breast cancer and its growth novel naïve bayes. Procedia Computer Science, 50, 551-553.
71. Pradeep, K. V., & Vijayakumar, V. (2015). Survey on the key management for securing the cloud. Procedia Computer Science, 50, 115-121.
72. Anitha, R., & Vijayakumar, V. (2015). Homomorphic Encryption Based Data Security on Federated Cloud Computing‖. ARPN Journal of Engineering and Applied Sciences, 10(5).

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

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