Pavan Kumar S

According to our database, Pavan Kumar S authored at least 8 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

UGPL: Uncertainty-Guided Progressive Learning for Evidence-Based Classification in Computed Tomography.

Shravan Venkatraman, Pavan Kumar S, Rakesh Raj Madavan, Chandrakala S

CoRR, July, 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

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 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 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

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

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

Electricity Theft Detection in Smart Grids using Deep Learning Algorithms.

Nilesh R, Pavan Kumar S, Tharun Aaditya S, Kayalvizhi Selvam

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024