Response time optimization with enhanced fault-tolerant wireless sensor network design for on-board rapid transit applications. - K. M. Karthick Raghunath; N. Rengarajan (Clust. Comput., 2019)

Paddy Plant Disease Recognition, Risk Analysis, and Classification Using Deep Convolution Neuro-Fuzzy Network. - Vinoth Kumar Venkatesan 001; K. M. Karthick Raghunath; N. Rajesh; Muthukumaran Venkatesan; Rose Bindu Joseph; N. Thillaiarasu (J. Mobile Multimedia, 2022)

XGBoost Regression Classifier (XRC) Model for Cyber Attack Detection and Classification Using Inception V4. - K. M. Karthick Raghunath; V. Vinoth Kumar 001; Muthukumaran Venkatesan; Krishna Kant Singh; T. R. Mahesh 001; Akansha Singh (J. Web Eng., 2022)

IoT Wearables Dataset for Women's Safety: Stress Detection and Analysis. - K. M. Karthick Raghunath (IEEE DataPort, 2023)

Integrated Energy Management and Forecasting Dataset. - K. M. Karthick Raghunath (IEEE DataPort, 2023)

Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies. - K. M. Karthick Raghunath; C. Rohith Bhat; Vinoth Kumar Venkatesan 001; Velmurugan Athiyoor Kannan; T. R. Mahesh 001; K. Manikandan; N. Krishnamoorthy (IEEE Access, 2024)

Early predictive model for breast cancer classification using blended ensemble learning. - T. R. Mahesh 001; V. Vinoth Kumar 001; V. Vivek; K. M. Karthick Raghunath; G. Sindhu Madhuri (Int. J. Syst. Assur. Eng. Manag., 2024)

Utilization of IoT-assisted computational strategies in wireless sensor networks for smart infrastructure management. - K. M. Karthick Raghunath; Manjula Sanjay Koti; R. Sivakami; Vinoth Kumar Venkatesan 001; Grande NagaJyothi; V. Muthukumaran (Int. J. Syst. Assur. Eng. Manag., 2024)

Leveraging Personalized Customer Experiences in Mobile Edge Computing Through Split Learning Using Smart Data-Driven Modeling. - V. Vinoth Kumar 001; K. M. Karthick Raghunath; Iyappan Perumal; K. Manikandan (IEEE Access, 2025)