A Supervised Machine Learning Based Intrusion Detection Model for Detecting Cyber-Attacks Against Computer System. - Santhosh Kumar Chenniappanadar; Gnanamurthy Sundharamurthy; Vinoth Kumar Sakthivelu; Vishnu Kumar Kaliappan (Int. J. Commun. Networks Inf. Secur., 2022)

Non Small Cell Lung Cancer Diagnosis Using kNN and Logistic Regression. - Siddique Ibrahim S. P; Bharathi Priya C; Selva Kumar S; Vinoth Kumar Sakthivelu (ICCCNT, 2023)

Deep Learning Algorithms in Mobile Edge with Real-Time Abnormal Event Detection for 5G-IoT Devices. - J. Praveenchandar; Vinoth Kumar Sakthivelu; Christopher A. Paul; Mukunthan Manapakkam Anandan; K. Maharajan (Int. J. Interact. Mob. Technol., 2023)

Energy-Efficient Green Information Centric Networking for Future Wireless Communications. - S. Girirajan; Vinoth Kumar Sakthivelu; M. Karthick; T. Saju Raj; Geetha Ponnaian (Int. J. Interact. Mob. Technol., 2024)

Future Prospects of Large Language Models: Enabling Natural Language Processing in Educational Robotics. - Vinoth Kumar Sakthivelu; R. B. Saroo Raj; J. Praveenchandar; S. Vidhya; S. Karthick; R. Madhubala (Int. J. Interact. Mob. Technol., 2024)

Shifted split-merge segmentation and fuzzy-guided generative adversarial network underwater object detection. - K. Selva Sheela; Vinoth Kumar Sakthivelu; Saman M. Almufti; R. Lakshmana Kumar (Intell. Data Anal., 2025)

An integrative framework for brain tumor segmentation and classification using neuraclassnet. - Cp Thamilselvi; Vinoth Kumar Sakthivelu; Renas Rajab Asaad; Punitha Puttu Swamy; Lakshmana Kumar Ramasamy (Intell. Data Anal., 2025)

DRF-YOLO: A Transformer-Enhanced Framework for Underwater Image Enhancement and Object Detection. - Manikandan Sundaram; Vinoth Kumar Sakthivelu; R. Lakshmana Kumar; P. Punitha 001 (Int. J. Pattern Recognit. Artif. Intell., 2025)