Prediction of User Interests for Providing Relevant Information Using Relevance Feedback and Re-ranking. - L. Sai Ramesh; Sannasi Ganapathy; R. Bhuvaneshwari; Kanagasabai Kulothungan; V. Pandiyaraju; Arputharaj Kannan (Int. J. Intell. Inf. Technol., 2015)

An Energy Efficient Routing Algorithm for WSNs Using Intelligent Fuzzy Rules in Precision Agriculture. - V. Pandiyaraju; Logambigai Rajasekaran; Sannasi Ganapathy; Arputharaj Kannan (Wirel. Pers. Commun., 2020)

An optimal energy utilization model for precision agriculture in WSNs using multi-objective clustering and deep learning. - V. Pandiyaraju; Sannasi Ganapathy; N. Mohith; Arputharaj Kannan (J. King Saud Univ. Comput. Inf. Sci., 2023)

A new clinical diagnosis system for detecting brain tumor using integrated ResNet_Stacking with XGBoost. - V. Pandiyaraju; Sannasi Ganapathy; A. M. Senthil Kumar; Jesher Joshua M; Ragav V; Sree Dananjay S; Arputharaj Kannan (Biomed. Signal Process. Control., 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)

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)

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)

A new hybrid MobileNet-MLP model for secured data communication using signature verification and deep learning. - V. Pandiyaraju; Sannasi Ganapathy; Thangaramya Kalidoss; R. Raunak Nahar; Arputharaj Kannan (Iran J. Comput. Sci., 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)

A context and sequence-based recommendation framework using GRU networks. - R. V. Karthik; V. Pandiyaraju; Sannasi Ganapathy (Artif. Intell. Rev., 2025)