A Novel Self-Attention-Enabled Weighted Ensemble-Based Convolutional Neural Network Framework for Distributed Denial of Service Attack Classification. - Shravan Venkatraman; S. Kanthimathi; Jayasankar K. S; Pranay Jiljith T; Jashwanth R (IEEE Access, 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)

Multimodal Emotion Recognition using Audio-Video Transformer Fusion with Cross Attention. - P. R. Joe Dhanith; Shravan Venkatraman; Vigya Sharma; Santhosh Malarvannan (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)

A Novel Self-Attention-Enabled Weighted Ensemble-Based Convolutional Neural Network Framework for Distributed Denial of Service Attack Classification. - Kanthimathi S; Shravan Venkatraman; Jayasankar K. S; Pranay Jiljith T; Jashwanth R (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)

SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers. - Shravan Venkatraman; Jaskaran Singh Walia; P. R. Joe Dhanith (CoRR, 2024)

A Novel Adaptive Hybrid Focal-Entropy Loss for Enhancing Diabetic Retinopathy Detection Using Convolutional Neural Networks. - Pandiyaraju V; Santhosh Malarvannan; Shravan Venkatraman; Abeshek A; Priyadarshini B; Arputharaj Kannan (CoRR, 2024)

FUSION: Frequency-guided Underwater Spatial Image recOnstructioN. - Jaskaran Singh Walia; Shravan Venkatraman; Pavithra L. K. (CVPR Workshops, 2025)

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)

Spatial attention-based hybrid VGG-SVM and VGG-RF frameworks for improved cotton leaf disease detection. - V. Pandiyaraju; B. Anusha; A. M. Senthil Kumar; K. Jaspin; Shravan Venkatraman; Arputharaj Kannan (Neural Comput. Appl., 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)