Artificial Intelligence to Combat the Sting of the Pandemic on the Psychological Realms of Human Brain. - Mary Fabiola Sagayaraj; Ignisha Rajathi George; R. Vedhapriyavadhana; R. L. Priya (SN Comput. Sci., 2022)

EOSA-Net: A deep learning framework for enhanced multi-class skin cancer classification using optimized convolutional neural networks. - J. S. Thanga Purni; R. Vedhapriyavadhana (J. King Saud Univ. Comput. Inf. Sci., 2024)

A review of deep learning techniques in audio event recognition (AER) applications. - Arjun Prashanth; S. L. Jayalakshmi; R. Vedhapriyavadhana (Multim. Tools Appl., 2024)

An intelligent skin cancer detection system using two-level multi-column convolutional neural network architecture. - Akash Sivakumar; R. Vedhapriyavadhana; Sannasi Ganapathy (Neural Comput. Appl., 2024)

Spatio-Temporal and Semantic Enhanced Context-Aware Navigation for Indoor Robots. - R. Gayathri; V. Uma; Rajakumar Ramalingam; R. Vishnu Priya; R. Vedhapriyavadhana (IEEE Access, 2025)

CUNet-CLSTM: A Novel Fusion of CUNet and CLSTM for Superior Liver Cancer Detection in CT Scans. - K. Vijayaprabakaran; Padmanaban Ramalingam; Rajakumar Ramalingam; A. Ilavendhan; R. Vedhapriyavadhana (IEEE Access, 2025)

Detecting dark patterns in shopping websites - a multi-faceted approach using Bidirectional Encoder Representations From Transformers (BERT). - R. Vedhapriyavadhana; Priyanshu Bharti; Senthilnathan Chidambaranathan (Enterp. Inf. Syst., 2025)