Fake Review Prediction Using Machine Learning. - C. Sasikala; Rajasekaran Thangaraj; Devipriya R; S. RajeshKumar; Ramachandramoorthy K. B; S. Ramya; K. Umapathi (ISDA (4), 2022)

Real-time monitoring of social distancing with person marking and tracking system using YOLO V3 model. - P. Pandiyan; Rajasekaran Thangaraj; M. Subramanian; R. Rahul; M. Nishanth; Indupriya Palanisamy (Int. J. Sens. Networks, 2022)

Contextual Reinforcement Learning for Enhanced Machine Translation using Transformers. - Palanichamy Naveen 001; Maragatharajan M; Rajasekaran Thangaraj (SWIoT+MSW@KGSWC, 2023)

Real-time face mask position recognition system using YOLO models for preventing COVID-19 disease spread in public places. - Vishnu Kumar Kaliappan; Rajasekaran Thangaraj; P. Pandiyan; K. Mohana Sundaram 001; S. Anandamurugan; Dugki Min (Int. J. Ad Hoc Ubiquitous Comput., 2023)

A deep convolution neural network model based on feature concatenation approach for classification of tomato leaf disease. - Rajasekaran Thangaraj; P. Pandiyan; S. Anandamurugan; Sivaramakrishnan Rajendar (Multim. Tools Appl., 2024)

Test scheduling of network-on-chip using hybrid WOA-GWO algorithm. - Sadesh S; Gokul Chandrasekaran; Rajasekaran Thangaraj; Neelam Sanjeev Kumar (Intell. Data Anal., 2025)