Deep learning-based medical expert system for diabetes diagnosis on IoT healthcare data. - K. Vijayaprabakaran; K. Sathiyamurthy; S. Sowmya (Int. J. Soc. Comput. Cyber Phys. Syst., 2021)

Assessment of Muscle Fatigue Using Phase Entropy of sEMG Signals During Dynamic Contractions of Biceps Brachii. - S. Sowmya; Shib Sundar Banerjee; Ramakrishnan Swaminathan (CoDIT, 2023)

Analysis of Survival Probability and Its Association with Time to Task Failure in Induced Fatiguing Dynamic Contractions of Biceps Brachii Muscle using Surface Electromyography. - S. Sowmya; Shib Sundar Banerjee; Ramakrishnan Swaminathan (MeMeA, 2023)

Detecting anomalies in fetal electrocardiogram records using deep learning models. - S. Sowmya; Deepa Jose (J. Intell. Fuzzy Syst., 2023)

Deep Learning Based Framework for Cardio Vascular Disease Risk Prediction. - V. Baby Shalini; T. Befrin Moofina; S. Sowmya; S. Venkat Bharathi; T. Backialakshmi (ICCCNT, 2024)

Low-Complexity Linear Decoupling of Users for Uplink Massive MU-MIMO Detection. - S. Sowmya; Gokularam Muthukrishnan; K. Giridhar 001 (VTC Spring, 2024)

Rotational Machine Fault Diagnosis Using Artificial Intelligence (AI) Strategies for the Operational Challenges Under Variable Speed Condition: A Review. - S. Sowmya; M. Saimurugan; Immanuel Edinbarough (IEEE Access, 2024)

Distinctive Contribution of Sound Spectral Features in Enhancing Vibration-Based Multi-Component Fault Classification Under Non-Stationary Speed Conditions. - S. Sowmya; M. Saimurugan; Naveen Venkatesh (IEEE Access, 2025)

Small noise limits of Markov chains and the PageRank. - Vivek S. Borkar; S. Sowmya; Raghavendra Tripathi (CoRR, 2025)