Article

Regilan, S. and Hema, Lakshmi Kuppusamy (2025) Dynamic clustering optimization for energy efficient IoT Network: A simple constrastive graph approach. Expert Systems with Applications, 264. ISSN 09574174

Regilan, S. and Hema, L. K. and Kadhiravan, D. and Jenitha, J. (2025) Enhancing mental health diagnosis: a comparative analysis of machine learning approaches. International Journal of System Assurance Engineering and Management. ISSN 0975-6809

Hema, Lakshmi Kuppusamy and Chacko, Anutha Mary and Dwibedi, Rajat Kumar and Regilan, S. (2025) IoT-Enabled Real-Time Flood Monitoring and Warning System Through Node MCU Using Temporal Attention Recurrent Graph Convolutional Neural Network. Sensing and Imaging, 26 (1). ISSN 15572072; 15572064

Regilan, S. and Hema, Lakshmi Kuppusamy and Jenitha, J. (2025) ReLeC-MEO: Reinforcement Learning-Based Clustering With Multi-Objective Efficient Optimization for Energy-Efficient IoT Networks. International Journal of Communication Systems, 38 (15). ISSN 10745351; 10991131

Hema, L. K. and Kumar Dwibedi, Rajat and Regilan, S. and K., Dheenadhayalan and Vinay Kumar, Kommera and Satish Kumar, Survi (2024) Analysis of Cyber Attack on Processor Architecture Through Exploiting Vulnerabilities. Springer. pp. 189-204. ISSN 2327-0411

Regilan, S. and Hema, L.K. (2024) Optimizing energy efficiency and routing in wireless sensor networks through genetic algorithm-based cluster head selection in a grid-based topology. Journal of High Speed Networks, 30 (4). pp. 569-582. ISSN 09266801

Regilan, S. and Hema, L.K. (2024) Optimizing environmental monitoring in IoT: integrating DBSCAN with genetic algorithms for enhanced clustering. International Journal of Computers and Applications, 46 (1). pp. 21-31. ISSN 1206-212X

Regilan, S. and Hema, L. K. and Jenitha, J. (2024) ReLeC-based clustering and multi-objective optimization for efficient energy optimization in IoT networks. International Journal of Computers and Applications, 46 (7). pp. 526-538. ISSN 1206-212X

Regilan, S. and Hema, L. K. (2023) Machine Learning Based Low Redundancy Prediction Model for IoT-Enabled Wireless Sensor Network. SN Computer Science, 4 (5). ISSN 2661-8907

Conference or Workshop Item

Regilan, S. and Gajalakshmi, P. and Weslin, D. and Vijay, J. and Kadhiravan, D. and Jenitha, J. (2025) Benchmarking AI-Driven Resume Screening: An Evaluation of Precision and Efficiency. In: Benchmarking AI-Driven Resume Screening: An Evaluation of Precision and Efficiency.

Jenitha, J. and Hema, Lakshmi Kuppusamy and S Ramya, S. and Regilan, S. (2025) Deep Learning-Based Modulation Classification for Underwater Acoustic Communication: A Convolutional Neural Network Approach. In: Deep Learning-Based Modulation Classification for Underwater Acoustic Communication: A Convolutional Neural Network Approach.

Ramya, S. and Hema, Lakshmi Kuppusamy and Jenitha, J. and Regilan, S. (2025) Deep Learning-Driven Autoencoder Models for Robust Underwater Acoustic Communication: A Survey on DCAEs, VAEs, Adaptive Modulation. In: Deep Learning-Driven Autoencoder Models for Robust Underwater Acoustic Communication: A Survey on DCAEs, VAEs, Adaptive Modulation.

Hema, L. K. and Regilan, S. and Kanna, R. Kishore and Jenitha, J. (2024) Design of a Digital Rf Beacon To Rescue The Soldiers Trapped In Ice Glaciers. In: UNSPECIFIED.

Regilan, S. and Hema, L.K. and Jenitha, J. (2024) Energy-Aware Adaptive Dijkstra: A Robust Routing Algorithm for Wireless Sensor Networks in Dynamic Environments. In: UNSPECIFIED.

Regilan, S. and Hema, L.K. (2022) A Comprehensive Study on Routing Protocol for IoT-enabled WSNs using Deep Reinforcement Learning Strategy. In: UNSPECIFIED.