Machine Learning Based Low Redundancy Prediction Model for IoT-Enabled Wireless Sensor Network. - S. Regilan; L. K. Hema (SN Comput. Sci., 2023)

Enhancing energy-efficient sleep scheduling for Narrowband Internet of Things devices in coordinated 5G networks within smart environments. - L. K. Hema; Regilan Soosai Raj; Jenitha J. (Int. J. Commun. Syst., 2024)

Optimizing energy efficiency and routing in wireless sensor networks through genetic algorithm-based cluster head selection in a grid-based topology. - S. Regilan; L. K. Hema (J. High Speed Networks, 2024)

ReLeC-MEO: Reinforcement Learning-Based Clustering With Multi-Objective Efficient Optimization for Energy-Efficient IoT Networks. - S. Regilan; L. K. Hema; Jenitha J. (Int. J. Commun. Syst., 2025)

Namib Beetle Algorithm Based Clustering and Jump Gain Integral Recurrent Neural Network for Efficient Energy in IoT Networks. - S. Regilan; L. K. Hema; D. Kadhiravan; J. Jenitha (SN Comput. Sci., 2026)

Enhancing mental health diagnosis: a comparative analysis of machine learning approaches. - S. Regilan; L. K. Hema; D. Kadhiravan; J. Jenitha (Int. J. Syst. Assur. Eng. Manag., 2026)