hodit@annauniv.edu 044 2251 6020/6021

Latest Journals (Scopus indexed)

  1. R. Shrish, H. Munusamy, K. Aravindh and T. Samuel Tennyson, An intensive survey on violence detection from videos using computer vision techniques, Engineering Computations (Swansea, Wales), 2025 An intensive survey on violence detection from videos using computer vision techniques (3) : pp1139-1162 .
  2. D. Kumar, S. Iyer, E. Raja, R. Kumar and V.P. Kafle, Improving Pedestrian Navigation in Urban Environment Using Augmented Reality and Landmark Recognition, IEEE Communications Standards Magazine, 2024 Improving Pedestrian Navigation in Urban Environment Using Augmented Reality and Landmark Recognition (1) : pp20-26 .
  3. K. Kalai Arasan and P. Anandhakumar, Hybrid COOT-Reverse Cognitive Fruit Fly Optimization-Based Big Data Services and Virtual Machine Allocation for Cloud Storage System, Journal of Circuits, Systems and Computers, 2024 Hybrid COOT-Reverse Cognitive Fruit Fly Optimization-Based Big Data Services and Virtual Machine Allocation for Cloud Storage System (1) .
  4. K.A. Alex Luke, P.E. David and P. Anandhakumar, Short-term wind power prediction using deep learning approaches, Advances in Computers, 2024 Short-term wind power prediction using deep learning approaches : pp111-139 .
  5. P.E. David and P. Anandhakumar, Articulating the power of reasoning and gathering data for information security and justice, Advances in Computers, 2024 Articulating the power of reasoning and gathering data for information security and justice : pp67-83 .
  6. P.E. David and P. Anandhakumar, ClubNet: Deep learning model for computation, calibration and estimation of biotic stress in crops, Advances in Computers, 2024 ClubNet: Deep learning model for computation, calibration and estimation of biotic stress in crops : pp235-250 .
  7. P.E. David and P. Anandhakumar, Why is implementing computational intelligence for social good so challenging? Principles and its application, Advances in Computers, 2024 Why is implementing computational intelligence for social good so challenging? Principles and its application : pp1-17 .
  8. P.E. David, P.R. Chelliah and P. Anandhakumar, Reshaping agriculture using intelligent edge computing, Advances in Computers, 2024 Reshaping agriculture using intelligent edge computing : pp167-204 .
  9. P.E. David, S. Malathi and P. Anandhakumar, Automatic programming (source code generator) based on an ontological model, Advances in Computers, 2024 Automatic programming (source code generator) based on an ontological model : pp251-272 .
  10. P.E. David, V. Vivek and P. Anandhakumar, Delineating computational intelligence during epidemic emergencies and outbreaks, Advances in Computers, 2024 Delineating computational intelligence during epidemic emergencies and outbreaks : pp219-234 .
  11. V. Arulalan, V. Premanand and D. Kumar, Object detection and tracking using TSM-EFFICIENTDET and JS-KM in adverse weather conditions, Journal of Intelligent and Fuzzy Systems, 2024 Object detection and tracking using TSM-EFFICIENTDET and JS-KM in adverse weather conditions (1) : pp2399-2413 .
  12. A. Sivalingam, K. Sundararajan and A. Palanisamy, CRF-MEM: Conditional Random Field Model Based Modified Expectation Maximization Algorithm for Sarcasm Detection in Social Media, Journal of Internet Technology, 2023 CRF-MEM: Conditional Random Field Model Based Modified Expectation Maximization Algorithm for Sarcasm Detection in Social Media (1) : pp45-54 .
  13. B.R. Sathish and R. Senthilkumar, A Hybrid Algorithm for Feature Selection and Classification, Journal of Internet Technology, 2023 A Hybrid Algorithm for Feature Selection and Classification (3) : pp593-602 .
  14. H. Munusamy and C.S. C, Multimodal attention-based transformer for video captioning, Applied Intelligence, 2023 Multimodal attention-based transformer for video captioning (20) : pp23349-23368 .
  15. K. Kalai Arasan and P. Anandhakumar, Energy-efficient task scheduling and resource management in a cloud environment using optimized hybrid technology, Software - Practice and Experience, 2023 Energy-efficient task scheduling and resource management in a cloud environment using optimized hybrid technology (7) : pp1572-1593 .
  16. K. Poongodi and D. Kumar, Mining Frequent Serial Positioning Episode Rules with Forward and Backward Search Technique from Event Sequences, Computer Journal, 2023 Mining Frequent Serial Positioning Episode Rules with Forward and Backward Search Technique from Event Sequences (7) : pp1622-1643 .
  17. K. Poongodi and D. Kumar, Natural Exponent Inertia Weight-based Particle Swarm Optimization for Mining Serial Episode Rules from Event Sequences, IETE Journal of Research, 2023 Natural Exponent Inertia Weight-based Particle Swarm Optimization for Mining Serial Episode Rules from Event Sequences (8) : pp5425-5439 .
  18. K. Suganthi, M.A. Kumar, N. Harish, S. HariKrishnan, G. Rajesh and S.S. Reka, Advanced Driver Assistance System Based on IoT V2V and V2I for Vision Enabled Lane Changing with Futuristic Drivability, Sensors, 2023 Advanced Driver Assistance System Based on IoT V2V and V2I for Vision Enabled Lane Changing with Futuristic Drivability (7) .
  19. M.R. Sumalatha, R. Berg, B.S. Sandeep and M. Tharunraj, Towards a More Secure and Transparent Crowdfunding Ecosystem Using Blockchain, Lecture Notes on Data Engineering and Communications Technologies, 2023 Towards a More Secure and Transparent Crowdfunding Ecosystem Using Blockchain : pp401-418 .
  20. R. Asmetha Jeyarani and R. Senthilkumar, Eye Tracking Biomarkers for Autism Spectrum Disorder Detection using Machine Learning and Deep Learning Techniques: Review, Research in Autism Spectrum Disorders, 2023 Eye Tracking Biomarkers for Autism Spectrum Disorder Detection using Machine Learning and Deep Learning Techniques: Review .
  21. V. Arulalan and D. Kumar, Efficient Object Detection and Classification Approach Using HTYOLOV4 and M2RFO-CNN, Computer Systems Science and Engineering, 2023 Efficient Object Detection and Classification Approach Using HTYOLOV4 and M2RFO-CNN (2) : pp1703-1717 .
  22. V. Dharmalingam, L.H. Palivela and P. Elangovan, Effective dehazing of night-time images using open dark channel prior and wavelet transform, Expert Systems, 2023 Effective dehazing of night-time images using open dark channel prior and wavelet transform .
  23. V. Premanand and D. Kumar, Moving Multi-Object Detection and Tracking Using MRNN and PS-KM Models, Computer Systems Science and Engineering, 2023 Moving Multi-Object Detection and Tracking Using MRNN and PS-KM Models (2) : pp1807-1821 .
  24. C. Karat and R. Senthilkumar, Optimal resource allocation with deep reinforcement learning and greedy adaptive firefly algorithm in cloud computing, Concurrency and Computation: Practice and Experience, 2022 Optimal resource allocation with deep reinforcement learning and greedy adaptive firefly algorithm in cloud computing (4) .
  25. G. Rajesh, X.M. Raajini, N. Kritika, A. Kavinkumar, K.M. Sagayam, M.M. Som and M.H.A. Wahab, Achieving Longevity in Wireless Body Area Network by Efficient Transmission Power Control for IoMT Applications, International Journal of Integrated Engineering, 2022 Achieving Longevity in Wireless Body Area Network by Efficient Transmission Power Control for IoMT Applications (3) : pp80-89 .
  26. H. Munusamy and C.S. C., Video captioning using Semantically Contextual Generative Adversarial Network, Computer Vision and Image Understanding, 2022 Video captioning using Semantically Contextual Generative Adversarial Network .
  27. K. Bagirathan and A. Palanisamy, Opportunistic Routing Protocol Based EPO–BES in MANET for Optimal Path Selection, Wireless Personal Communications, 2022 Opportunistic Routing Protocol Based EPO–BES in MANET for Optimal Path Selection (1) : pp473-494 .
  28. M. Saravanapriya, R. Senthilkumar and J. Saktheeswaran, Multi-label Convolution Neural Network for Personalized News Recommendation based on Social Media Mining, Journal of Scientific and Industrial Research, 2022 Multi-label Convolution Neural Network for Personalized News Recommendation based on Social Media Mining (7) : pp785-797 .
  29. N.B. Nazar and R. Senthilkumar, Feature Selection Using Games with Imperfect Information (FSGIN), International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems, 2022 Feature Selection Using Games with Imperfect Information (FSGIN) (6) : pp1019-1033 .
  30. R. Senthilkumar, V. Srinidhi, S. Neelavathi and S. Renuga Devi, Forest Change Detection Using an Optimized Convolution Neural Network, IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India), 2022 Forest Change Detection Using an Optimized Convolution Neural Network (1) : pp135-142 .
  31. S. Manoharan, R. Senthilkumar and S. Jayakumar, Optimized multi-label convolutional neural network using modified genetic algorithm for popularity based personalized news recommendation system, Concurrency and Computation: Practice and Experience, 2022 Optimized multi-label convolutional neural network using modified genetic algorithm for popularity based personalized news recommendation system (19) .
  32. V. Dharmalingam and D. Kumar, Hybrid feature selection model for classification of lung disorders, Journal of Ambient Intelligence and Humanized Computing, 2022 Hybrid feature selection model for classification of lung disorders (12) : pp5609-5625 .
  33. V. Dharmalingam and D. Kumar, Hybrid feature selection model for classification of lung disorders, Journal of Ambient Intelligence and Humanized Computing, 2022 Hybrid feature selection model for classification of lung disorders (12) : pp5609-5625 .