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Latest Journals (Scopus indexed)

  1. D. Priyanka and T. Mala, SFG-Net: Semantic relationship and hierarchical Fusion-based Graph Network for enhanced skeleton-based gait recognition, Engineering Applications of Artificial Intelligence, 2025 SFG-Net: Semantic relationship and hierarchical Fusion-based Graph Network for enhanced skeleton-based gait recognition .
  2. G. Sivagami and K. Vidya, Investigating Breast Cancer Detection with Contextual Relationship Embedded CNN in Mammograms, Cancer Investigation, 2025 Investigating Breast Cancer Detection with Contextual Relationship Embedded CNN in Mammograms (10) : pp847-871 .
  3. K. Kamatchi and E. Uma, Securing the edge: privacy-preserving federated learning for insider threats in IoT networks, Journal of Supercomputing, 2025 Securing the edge: privacy-preserving federated learning for insider threats in IoT networks (1) .
  4. K. Kamatchi and E. Uma, Insights into user behavioral-based insider threat detection: systematic review, International Journal of Information Security, 2025 Insights into user behavioral-based insider threat detection: systematic review (2) .
  5. K. Kamatchi and E. Uma, Scenario-aware anomaly detection in insider activities using CT-GAN data augmentation, Improving Threat Detection Network Security and Incident Response with AI, 2025 Scenario-aware anomaly detection in insider activities using CT-GAN data augmentation : pp333-356 .
  6. K. Narmadha and P. Varalakshmi, Enhanced brain tumour segmentation using a hybrid dual encoder–decoder model in federated learning, Scientific Reports, 2025 Enhanced brain tumour segmentation using a hybrid dual encoder–decoder model in federated learning (1) .
  7. K. Narmadha and P. Varalakshmi, FedEff: efficient federated learning with optimal local epochs for heterogeneous clients, Scientific Reports, 2025 FedEff: efficient federated learning with optimal local epochs for heterogeneous clients (1) .
  8. L.L. Prasanth and E. Uma, Revolutionizing neurostimulator care: enhancing remote health monitoring through SDN-cloud networks, Telecommunication Systems, 2025 Revolutionizing neurostimulator care: enhancing remote health monitoring through SDN-cloud networks (1) .
  9. M.J. Vincent and V. Perumal, Object-Based Image Analysis for Land Use Land Cover Classification of High-Resolution Satellite Imagery using Felzenwalb Segmentation and Random Forest, IETE Journal of Research, 2025 Object-Based Image Analysis for Land Use Land Cover Classification of High-Resolution Satellite Imagery using Felzenwalb Segmentation and Random Forest .
  10. S.P. Tamizhselvi and V. Muthuswamy, Enhancing TCP Variants to Estimate Dynamic Bandwidth in Mobile Cloud, Wireless Personal Communications, 2025 Enhancing TCP Variants to Estimate Dynamic Bandwidth in Mobile Cloud (1) : pp267-297 .
  11. T. Murugan, V. Perumal and N.A.N.M. Badusha, Secure DNA Cryptosystem for Data Protection in Cloud Storage and Retrieval, Computers, 2025 Secure DNA Cryptosystem for Data Protection in Cloud Storage and Retrieval (12) .
  12. V.M. Ponney, B.L. Velammal and K. Kulothungan, DB-DSCN: Image Tampering Detection Using Dual Branch Deep Stacked Convolutional Network, International Journal of Software Engineering and Knowledge Engineering, 2025 DB-DSCN: Image Tampering Detection Using Dual Branch Deep Stacked Convolutional Network (9) : pp1323-1340 .
  13. A. Sekar and V. Perumal, SS-GAN based road surface crack region segmentation and forecasting, Engineering Applications of Artificial Intelligence, 2024 SS-GAN based road surface crack region segmentation and forecasting .
  14. B. A and S. Ravindran, Intelligent fuzzy logic based intrusion detection system for effective detection of black hole attack in WSN, Peer-to-Peer Networking and Applications, 2024 Intelligent fuzzy logic based intrusion detection system for effective detection of black hole attack in WSN (4) : pp1813-1829 .
  15. B.D. Gayathri and D. Sangeetha, Enhancing security in digitized healthcare system using blockchain technology, Technology and Health Care, 2024 Enhancing security in digitized healthcare system using blockchain technology (6) : pp5105-5127 .
  16. G. Anurekha and P. Geetha, An intelligent optimized ReliefF model for autism gene selection from microarray data, Current Science, 2024 An intelligent optimized ReliefF model for autism gene selection from microarray data (11) : pp1357-1366 .
  17. G. Sivagami, K. Vidya and R. Geetharamani, A deep convolutional neural network architecture for breast mass classification using mammogram images, Journal of Autonomous Intelligence, 2024 A deep convolutional neural network architecture for breast mass classification using mammogram images (3) .
  18. J. Vincent M and P. Varalakshmi, Extraction of building footprint using MASK-RCNN for high resolution aerial imagery, Environmental Research Communications, 2024 Extraction of building footprint using MASK-RCNN for high resolution aerial imagery (7) .
  19. J. Vincent M and P. Varalakshmi, Agroforestry mapping using multi temporal hybrid CNN+LSTM framework with landsat 8 satellite imagery and google earth engine, Environmental Research Communications, 2024 Agroforestry mapping using multi temporal hybrid CNN+LSTM framework with landsat 8 satellite imagery and google earth engine (6) .
  20. J.A. Thankachan and B. Srinivasan, A mathematical formulation of learner cognition for personalised learning experiences, Cognitive Systems Research, 2024 A mathematical formulation of learner cognition for personalised learning experiences .
  21. L. Arulmozhiselvan and E. Uma, Cloud and fog computing amalgamation for data agitation and guard intensification in health care applications, Ksii Transactions on Internet and Information Systems, 2024 Cloud and fog computing amalgamation for data agitation and guard intensification in health care applications (3) : pp685-703 .
  22. L.L. Prasanth and E. Uma, A computationally intelligent framework for traffic engineering and congestion management in software-defined network (SDN), Eurasip Journal on Wireless Communications and Networking, 2024 A computationally intelligent framework for traffic engineering and congestion management in software-defined network (SDN) (1) .
  23. R. Thenmozhi, P. Sakthivel and K. Kulothungan, Secure data aggregation using quantum key management in IoT networks, Journal of Intelligent and Fuzzy Systems, 2024 Secure data aggregation using quantum key management in IoT networks (1) .
  24. S.J.S. Rajasekar and V. Perumal, MACHINE LEARNING MODEL-BASED DETECTION OF SPERM HEAD ABNORMALITIES FROM STAINED MICROSCOPIC IMAGES, Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision, 2024 MACHINE LEARNING MODEL-BASED DETECTION OF SPERM HEAD ABNORMALITIES FROM STAINED MICROSCOPIC IMAGES : pp3-17 .
  25. S.J.S. Rajasekar, A.R. Balaraman, D.V. Balaraman, S. Mohamed Ali, K. Narasimhan, N. Krishnasamy and V. Perumal, Detection of tuberculosis using cough audio analysis: a deep learning approach with capsule networks, Discover Artificial Intelligence, 2024 Detection of tuberculosis using cough audio analysis: a deep learning approach with capsule networks (1) .
  26. A. Ilangovan, S.J.S. Rajasekar and V. Perumal, CoVacciDrone: An Algorithmic-Drone-Based COVID-19 Vaccine Distribution Strategy, Internet of Drones Applications Opportunities and Challenges, 2023 CoVacciDrone: An Algorithmic-Drone-Based COVID-19 Vaccine Distribution Strategy : pp75-86 .
  27. A. Sekar and V. Perumal, A Novel SGD-U-Network-Based Pixel-Level Road Crack Segmentation and Classification, Computer Journal, 2023 A Novel SGD-U-Network-Based Pixel-Level Road Crack Segmentation and Classification (7) : pp1595-1608 .
  28. A.N. Kumar and G. Geetha, Recognizing Ancient South Indian Language Using Opposition Based Grey Wolf Optimization, Intelligent Automation and Soft Computing, 2023 Recognizing Ancient South Indian Language Using Opposition Based Grey Wolf Optimization (3) : pp2619-2637 .
  29. D. Teekaraman, S. Selvaraju and M.G. Suryanarayanan, Provenance Based Trust Boosted Recommender System Using Boosted Vector Similarity Measure, Transactions on Fuzzy Sets and Systems, 2023 Provenance Based Trust Boosted Recommender System Using Boosted Vector Similarity Measure (2) : pp194-218 .
  30. E. Poongavanam, P. Kasinathan and K. Kanagasabai, Taylor ant lion optimization-based generative adversarial networks for forecasting electricity consumption, Concurrency and Computation Practice and Experience, 2023 Taylor ant lion optimization-based generative adversarial networks for forecasting electricity consumption (7) .
  31. E. Poongavanam, P. Kasinathan and K. Kanagasabai, Optimal Energy Forecasting Using Hybrid Recurrent Neural Networks, Intelligent Automation and Soft Computing, 2023 Optimal Energy Forecasting Using Hybrid Recurrent Neural Networks (1) : pp249-265 .
  32. E.S. Smitha, S. Sendhilkumar and G.S. Mahalakshmi, Ensemble Convolution Neural Network for Robust Video Emotion Recognition Using Deep Semantics, Scientific Programming, 2023 Ensemble Convolution Neural Network for Robust Video Emotion Recognition Using Deep Semantics .
  33. E.S. Smitha, S. Sendhilkumar and G.S. Mahalakshmi, Intelligence system for sentiment classification with deep topic embedding using N-gram based topic modeling, Journal of Intelligent and Fuzzy Systems, 2023 Intelligence system for sentiment classification with deep topic embedding using N-gram based topic modeling (1) : pp1539-1565 .
  34. G. Anurekha and P. Geetha, Autism Gene Subset Selection from Microarray data - A Wrapper Approach, Journal of Scientific and Industrial Research, 2023 Autism Gene Subset Selection from Microarray data - A Wrapper Approach (8) : pp841-850 .
  35. G. Anurekha and P. Geetha, An Intelligent Hybrid Ensemble Gene Selection Model for Autism Using DNN, Intelligent Automation and Soft Computing, 2023 An Intelligent Hybrid Ensemble Gene Selection Model for Autism Using DNN (3) : pp3049-3064 .
  36. G. Augusta Kani and P. Geetha, Adaptive Weighted Flow Net Algorithm for Human Activity Recognition Using Depth Learned Features, Computer Systems Science and Engineering, 2023 Adaptive Weighted Flow Net Algorithm for Human Activity Recognition Using Depth Learned Features (2) : pp1447-1469 .
  37. G. Lavanya, B.L. Velammal and K. Kulothungan, SCDAP -secured cluster based data aggregation protocol for energy efficient communication in wireless sensor networks, Journal of Intelligent and Fuzzy Systems, 2023 SCDAP -secured cluster based data aggregation protocol for energy efficient communication in wireless sensor networks (3) : pp4747-4757 .
  38. G. Lavanya, B.L. Velammal and K. Kulothungan, AN EFFICIENT ENERGY OPTIMISATION WITH RESOURCE ALLOCATION FOR IOT DEVICES USING REINFORCEMENT LEARNING TECHNIQUES IN MOBILE EDGE COMPUTING, Journal of Environmental Protection and Ecology, 2023 AN EFFICIENT ENERGY OPTIMISATION WITH RESOURCE ALLOCATION FOR IOT DEVICES USING REINFORCEMENT LEARNING TECHNIQUES IN MOBILE EDGE COMPUTING (8) : pp2851-2861 .
  39. G. Sangeetha and M. Vijayalakshmi, Weighted high priority packet transmission using ozmos bio-inspired mechanism for traffic load distribution (WH-DTO) in WSNs, Wireless Networks, 2023 Weighted high priority packet transmission using ozmos bio-inspired mechanism for traffic load distribution (WH-DTO) in WSNs (1) : pp29-45 .
  40. G.S. Mahalakshmi, G. Sunilkumar, S.F. Gilbert and S. Sendhilkumar, Classification of Family Domain of Amino Acid Sequences Using CNN-LSTM, Lecture Notes in Networks and Systems, 2023 Classification of Family Domain of Amino Acid Sequences Using CNN-LSTM : pp645-653 .
  41. G.S. Mahalakshmi, S. Hemadharsana, K. Srividhyasaradha and S. Sendhilkumar, Applying Topic Models for Finding N-Gram Entities in Biomedical Literature, Applications of Artificial Intelligence in the Healthcare Sector, 2023 Applying Topic Models for Finding N-Gram Entities in Biomedical Literature : pp91-108 .
  42. J.J. Iyda and P. Geetha, An improved deep belief neural network based civil unrest event forecasting in twitter, Applied Intelligence, 2023 An improved deep belief neural network based civil unrest event forecasting in twitter (5) : pp5714-5731 .
  43. K. Manimala and K. Selvi, Integrated DWT-DHT Feature Set for ABC Optimized SVM-Based PQ Classifier, Electric Power Components and Systems, 2023 Integrated DWT-DHT Feature Set for ABC Optimized SVM-Based PQ Classifier .
  44. M. Srivani, A. Murugappan and T. Mala, Cognitive computing technological trends and future research directions in healthcare — A systematic literature review, Artificial Intelligence in Medicine, 2023 Cognitive computing technological trends and future research directions in healthcare — A systematic literature review .
  45. M.A. Nasreen and S. Ravindran, Energy efficient two-stage capacity allocation scheme for WBAN healthcare applications, Ad Hoc Networks, 2023 Energy efficient two-stage capacity allocation scheme for WBAN healthcare applications .
  46. P. Dhanasekaran, E. Uma, A.V. Geetha and T. Mala, Deep learning-based object detection for computer vision tasks: A survey of methods and applications, Intelligent Systems and Applications in Computer Vision, 2023 Deep learning-based object detection for computer vision tasks: A survey of methods and applications : pp45-60 .
  47. P. Varalakshmi and A.P. Sankaran, An improved hybrid AI model for prediction of arrhythmia using ECG signals, Biomedical Signal Processing and Control, 2023 An improved hybrid AI model for prediction of arrhythmia using ECG signals .
  48. P. Varalakshmi, N. Vasumathi and R. Venkatesan, Tropical Cyclone intensity prediction based on hybrid learning techniques, Journal of Earth System Science, 2023 Tropical Cyclone intensity prediction based on hybrid learning techniques (1) .
  49. S.J.S. Rajasekar, S. Thangavelu and V. Perumal, An AI-powered IoMT model for continuous remote patient monitoring using COVID Early Warning Score (CoEWS), Internet of Medical Things in Smart Healthcare Post Covid 19 Pandemic Scenario, 2023 An AI-powered IoMT model for continuous remote patient monitoring using COVID Early Warning Score (CoEWS) : pp39-55 .
  50. S.T. Manukumar and V. Muthuswamy, A novel data size-aware offloading technique for resource provisioning in mobile cloud computing, International Journal of Communication Systems, 2023 A novel data size-aware offloading technique for resource provisioning in mobile cloud computing (2) .
  51. T. Nathezhtha, D. Sangeetha and V. Vaidehi, Social network malicious insider detection using time-based trust evaluation, Annales des Telecommunications/Annals of Telecommunications, 2023 Social network malicious insider detection using time-based trust evaluation (9-10) : pp585-597 .
  52. T. Nathezhtha, V. Vaidehi and D. Sangeetha, Detection of fraudulent marketing of consumer product in social networking services, Journal of Intelligent and Fuzzy Systems, 2023 Detection of fraudulent marketing of consumer product in social networking services (3) : pp4767-4775 .
  53. V.N.J. Robert and K. Vidya, Genetic algorithm optimized fuzzy decision system for efficient data transmission with deafness avoidance in multihop cognitive radio networks, Journal of Ambient Intelligence and Humanized Computing, 2023 Genetic algorithm optimized fuzzy decision system for efficient data transmission with deafness avoidance in multihop cognitive radio networks (2) : pp959-972 .
  54. A. Ramasamy-Rajeswari, S. Ganapathy, K. Kulothungan and A. Kannan, Fuzzy based congestion detection and control algorithm for energy efficient wireless sensor network (WSN), Sri Lanka Journal of Social Sciences, 2022 Fuzzy based congestion detection and control algorithm for energy efficient wireless sensor network (WSN) (3) : pp563-576 .
  55. A. Ramasamy-Rajeswari, S. Ganapathy, K. Kulothungan and A. Kannan, Machine Learning Fuzzy based congestion detection and control algorithm for energy efficient wireless sensor network (WSN), Journal of the National Science Foundation of Sri Lanka, 2022 Machine Learning Fuzzy based congestion detection and control algorithm for energy efficient wireless sensor network (WSN) (3) : pp563-576 .
  56. A. Sekar and V. Perumal, CFC-GAN: Forecasting Road Surface Crack Using Forecasted Crack Generative Adversarial Network, IEEE Transactions on Intelligent Transportation Systems, 2022 CFC-GAN: Forecasting Road Surface Crack Using Forecasted Crack Generative Adversarial Network (11) : pp21378-21391 .
  57. A.V. Geetha and T. Mala, AREL – Augmented Reality–based enriched learning experience, Acta IMEKO, 2022 AREL – Augmented Reality–based enriched learning experience (3) .
  58. B. Anusha and P. Geetha, Identification of gene variant associated with Parkinson’s disease using genomic databases, Journal of Ambient Intelligence and Humanized Computing, 2022 Identification of gene variant associated with Parkinson’s disease using genomic databases (11) : pp5211-5224 .
  59. B. Anusha, P. Geetha and A. Kannan, Parkinson's disease identification in homo sapiens based on hybrid ResNet-SVM and resnet-fuzzy svm models, Journal of Intelligent and Fuzzy Systems, 2022 Parkinson's disease identification in homo sapiens based on hybrid ResNet-SVM and resnet-fuzzy svm models (3) : pp2711-2729 .
  60. B. Srinivasan and R. Parthasarathi, A Formalism to Specify Unambiguous Instructions Inspired by Mīmāṁsā in Computational Settings, Logica Universalis, 2022 A Formalism to Specify Unambiguous Instructions Inspired by Mīmāṁsā in Computational Settings (1-2) : pp27-55 .
  61. D. Sangeetha, S. Selvi and A. Keerthana, A Trust-Based Handover Authentication in an SDN 5G Heterogeneous Network, Lecture Notes on Data Engineering and Communications Technologies, 2022 A Trust-Based Handover Authentication in an SDN 5G Heterogeneous Network : pp841-852 .
  62. D. Sangeetha, S.S. Chakkaravarthy, S.C. Satapathy, V. Vaidehi and M.V. Cruz, Multi keyword searchable attribute based encryption for efficient retrieval of health Records in Cloud, Multimedia Tools and Applications, 2022 Multi keyword searchable attribute based encryption for efficient retrieval of health Records in Cloud (16) : pp22065-22085 .
  63. D. Suvitha and M. Vijayalakshmi, Traffic prediction using MSSBiLS with self-attention model, Concurrency and Computation: Practice and Experience, 2022 Traffic prediction using MSSBiLS with self-attention model .
  64. D. Suvitha and M. Vijayalakshmi, Vehicle Density Prediction in Low Quality Videos with Transformer Timeseries Prediction Model (TTPM), Computer Systems Science and Engineering, 2022 Vehicle Density Prediction in Low Quality Videos with Transformer Timeseries Prediction Model (TTPM) (1) : pp873-894 .
  65. E. Fantin Irudaya Raj, K. Manimala and M. Appadurai, Differential Protection Scheme along with Backup Blockchain System for DC Microgrid, Smart and Power Grid Systems - Design Challenges and Paradigms, 2022 Differential Protection Scheme along with Backup Blockchain System for DC Microgrid : pp135-156 .
  66. K. Manimala, E.F.I. Raj and S. Jagatheswari, Advancements in deep learning techniques for analyzing electronic medical records, Deep Learning for Healthcare Decision Making, 2022 Advancements in deep learning techniques for analyzing electronic medical records : pp133-158 .
  67. K. Soundararajan and T. Mala, Sports highlight recognition and event detection using rule inference system, Concurrent Engineering Research and Applications, 2022 Sports highlight recognition and event detection using rule inference system (2) : pp206-213 .
  68. L. Arulmozhiselvan and E. Uma, QKD in Cloud-Fog Computing for Personal Health Record, Computer Systems Science and Engineering, 2022 QKD in Cloud-Fog Computing for Personal Health Record (1) : pp45-57 .
  69. M. Ayeesha Nasreen and S. Ravindran, Long short-term memory-based power-aware algorithm for prompt heterogenous activity, International Journal of Communication Systems, 2022 Long short-term memory-based power-aware algorithm for prompt heterogenous activity (10) .
  70. M. SureshKumar, V. Perumal, G. Yuvaraj and S.J.S. Rajasekar, Detection of Pneumonia from Chest X-Ray images using Machine Learning, Concurrent Engineering Research and Applications, 2022 Detection of Pneumonia from Chest X-Ray images using Machine Learning (4) : pp325-334 .
  71. P. Mahalingam, D. Kalpana, S. Sendhilkumar and T. Thyagarajan, Prefatory data analysis approach to synthetically generated pneumatic actuator data set, Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, 2022 Prefatory data analysis approach to synthetically generated pneumatic actuator data set .
  72. P. Varalakshmi and S. Subbiah, Optimized scheduling of multi-user Map-Reduce jobs in heterogeneous environment, Concurrency and Computation: Practice and Experience, 2022 Optimized scheduling of multi-user Map-Reduce jobs in heterogeneous environment (27) .
  73. P. Varalakshmi, B. Tharani Priya, B. Anu Rithiga, R. Bhuvaneaswari and R. Sakthi Jaya Sundar, Diagnosis of Parkinson's disease from hand drawing utilizing hybrid models, Parkinsonism and Related Disorders, 2022 Diagnosis of Parkinson's disease from hand drawing utilizing hybrid models : pp24-31 .
  74. R. Ramaporselvi and G. Geetha, Congestion management in deregulated power system using adaptive moth swarm optimization, COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2022 Congestion management in deregulated power system using adaptive moth swarm optimization (1) : pp334-356 .
  75. R. Thenmozhi, P. Sakthivel and K. Kulothungan, Hybrid multi-objective-optimization algorithm for energy efficient priority-based QoS routing in IoT networks, Wireless Networks, 2022 Hybrid multi-objective-optimization algorithm for energy efficient priority-based QoS routing in IoT networks .
  76. S. Aravindkumar and P. Varalakshmi, VANET: Optimal Cluster Head Selection Using Opposition Based Learning, Intelligent Automation and Soft Computing, 2022 VANET: Optimal Cluster Head Selection Using Opposition Based Learning (1) : pp601-617 .
  77. S. Naveed, G. Geetha and S. Leninisha, Early Diabetes Discovery from Tongue Images, Computer Journal, 2022 Early Diabetes Discovery from Tongue Images (2) : pp237-250 .
  78. S.P. Tamizhselvi and M. Vijayalakshmi, Dynamic bandwidth estimation and congestion avoidance based on network traffic in mobile cloud, International Journal of Sensor Networks, 2022 Dynamic bandwidth estimation and congestion avoidance based on network traffic in mobile cloud (1) : pp34-40 .
  79. T. Shanmuigapriya, S. Swamynathan and T. Uloli, Customized Share Level Monitoring System for Users in OSN-Third Party Applications, Computer Systems Science and Engineering, 2022 Customized Share Level Monitoring System for Users in OSN-Third Party Applications (3) : pp1327-1339 .
  80. V. Ezhil Arasi, K. Indra Gandhi and K. Kulothungan, Auditable attribute-based data access control using blockchain in cloud storage, Journal of Supercomputing, 2022 Auditable attribute-based data access control using blockchain in cloud storage (8) : pp10772-10798 .
  81. V. Ezhil Arasi, K. Indra Gandhi and K. Kulothungan, Auditable attribute-based data access control using blockchain in cloud storage, Journal of Supercomputing, 2022 Auditable attribute-based data access control using blockchain in cloud storage (8) : pp10772-10798 .
  82. V.A. Devi, S.J.S. Rajasekar and V. Perumal, SepSense: A novel sepsis detection system using machine learning techniques, Healthcare 4 0 Health Informatics and Precision Data Management, 2022 SepSense: A novel sepsis detection system using machine learning techniques : pp131-150 .