Electricity Theft Detection in Smart Grids using Deep Learning Algorithms. - Nilesh R; Pavan Kumar S; Tharun Aaditya S; Kayalvizhi Selvam (ICCCNT, 2024)

Multi-Attention Integrated Deep Learning Frameworks for Enhanced Breast Cancer Segmentation and Identification. - Pandiyaraju V; Shravan Venkatraman; Pavan Kumar S; Santhosh Malarvannan; Kannan Arputharaj (CoRR, 2024)

A Dual-Attention Aware Deep Convolutional Neural Network for Early Alzheimer's Detection. - Pandiyaraju V; Shravan Venkatraman; Abeshek A; Aravintakshan S. A; Pavan Kumar S; Kannan Arputharaj (CoRR, 2024)

A Channel Attention-Driven Hybrid CNN Framework for Paddy Leaf Disease Detection. - Pandiyaraju V; Shravan Venkatraman; Abeshek A; Pavan Kumar S; Aravintakshan S. A; Senthil Kumar A M; Kannan Arputharaj (CoRR, 2024)

Leveraging SeNet and ResNet Synergy within an Encoder-Decoder Architecture for Glioma Detection. - Pandiyaraju V; Shravan Venkatraman; Abeshek A; Pavan Kumar S; Aravintakshan S. A (CoRR, 2024)

An Integrated Deep Learning Framework for Effective Brain Tumor Localization, Segmentation, and Classification from Magnetic Resonance Images. - Pandiyaraju V; Shravan Venkatraman; Abeshek A; Aravintakshan S. A; Pavan Kumar S; Madhan S (CoRR, 2024)

Leveraging Bi-Focal Perspectives and Granular Feature Integration for Accurate Reliable Early Alzheimer's Detection. - Shravan Venkatraman; Pandiyaraju V; Abeshek A; Pavan Kumar S; Aravintakshan S. A (IEEE Access, 2025)

UGPL: Uncertainty-Guided Progressive Learning for Evidence-Based Classification in Computed Tomography. - Shravan Venkatraman; Pavan Kumar S; Rakesh Raj Madavan; Chandrakala S (CoRR, 2025)