M.G. Jayanthi

Ramkumar, G., Shalout, I., Syambabu, V., Jayanthi, M., Padole, G., & Kaliappan, S. (2026). A Design of Battery Swapping based Wireless EVs Charging with Game Theoretical Model and Ant Colony Optimization using IoT based Cloud Systems. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICIPCN67432.2026.11438742

Roobini, G., Bhuvana, R., Deepika, J., Jayanthi, M., Suthers, A. P., & Ahmed, N. (2026). Stroke Detection Using Machine Learning: Gradient Boosting Optimized with Whale Optimization Algorithm. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICSADL67539.2026.11451783

Faisal, S., Muniyandy, E., Lokesh, S., & Jayanthi, M. (2026). A Random Graph Diffusion Attention Network with Great Wall Construction and Clinical Metadata for Improved Kidney Cancer Diagnosis and Surgical Planning. Biomedical Materials and Devices, 4(3), 3693-3712,. https://doi.org/10.1007/s44174-025-00447-6

Desai, P., Karthik, P., Loganathan, D., Preethi, S., Bharani, B., & Jayanthi, M. (2026). Understanding Blockchain and Its Foundations: The Evolution Towards Decentralized Systems. CRC Press. https://doi.org/10.1201/9781003559849-6

Singh, A., Marimuthu, S., Nandhakumar, A., Jayanthi, M., Rinesh, S., & Arun, M. (2026). Adaptive AI-Based Fault Detection in Smart Grids: A Data-Driven Approach. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/EPREC66546.2026.11412003

Raj, H., Nandheeswaran, M., Singh, D., Jayanthi, M., & Kannadaguli, P. (2024). Brand Sentiment: Aspect-based Multilingual Sentiment Analysis for Strategic Brand Reputation Enhancement and Management in India. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/SSITCON62437.2024.10796725

Dharwadkar, V., Veena, R., Manohar, S., Jayanthi, M., & Kannadaguli, P. (2024). Smart Cart: Revolutionizing E-Commerce in India with AI-Powered Personalized Product Recommendations Overview. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/I4C62240.2024.10748521

Sanath, G., Deekshitha, S., Shravya, H., Jayanthi, M., & Kannadaguli, P. (2024). Aquify:AI-Enhanced Predictive Analytics Toolkit For Water Contamination. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/I4C62240.2024.10748475

Jayanthi, M., & Shashikumar, D. (2020). Cucumber disease detection using adaptively regularised kernel-based fuzzy C-means and probabilistic neural network. International Journal of Computational Vision and Robotics, 10(5), 385-411,. https://doi.org/10.1504/IJCVR.2020.109390

Jayanthi, M., & Shashikumar, D. (2019). A Model for Early Detection of Paddy Leaf Disease using Optimized Fuzzy Inference System. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICSSIT46314.2019.8987955