RSNet: Rail semantic segmentation network for extracting aerial railroad images. - R. S. Rampriya; Sabarinathan; R. Suganya (J. Intell. Fuzzy Syst., 2021)

A Comparative Assessment of Deep Neural Network Models for Detecting Obstacles in the Real Time Aerial Railway Track Images. - R. S. Rampriya; R. Suganya; Sabari Nathan; P. Shunmuga Perumal (Appl. Artif. Intell., 2022)

Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023. - Abhijit Das 001; Saurabh Atreya; Aritra Mukherjee; Matej Vitek; Haiqing Li; Caiyong Wang; Guangzhe Zhao; Fadi Boutros; Patrick Siebke; Jan Niklas Kolf; Naser Damer; Sun Ye; et al. (IJCB, 2023)

Fault Detection and Semantic Segmentation on Railway Track Using Deep Fusion Model. - R. S. Rampriya; A. Jenefa; Sahaya Beni Prathiba; Sabarinathan; L. Jerart Julus; Arikumar K. Selvaraj; Joel J. P. C. Rodrigues (IEEE Access, 2024)

Lightweight railroad semantic segmentation network and distance estimation for railroad Unmanned aerial vehicle images. - R. S. Rampriya; Sabari Nathan; R. Suganya; Sahaya Beni Prathiba; P. Shunmuga Perumal; Wei Wang (Eng. Appl. Artif. Intell., 2024)

A computer vision-based crop and weed segmentation using federated ensemble learning in diverse multi-crop fields. - Sankeshwar Sivakumar; Abel Joshy Payyappilly; Akhil Rajan; R. Arumuga Arun; R. S. Rampriya (Eng. Appl. Artif. Intell., 2025)