V. Pandiyaraju

According to our database, V. Pandiyaraju authored at least 14 papers between 2015 and 2025.

Collaborative distances:

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

2025

A context and sequence-based recommendation framework using GRU networks.

R. V. Karthik, V. Pandiyaraju, Sannasi Ganapathy

Artif. Intell. Rev., June, 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., May, 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., March, 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

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

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

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

2023

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., December, 2023

2020

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

2015

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