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2020 – today
- 2025
[j8]Shravan Venkatraman
, Pandiyaraju V, Abeshek A, Pavan Kumar S, Aravintakshan S. A:
Leveraging Bi-Focal Perspectives and Granular Feature Integration for Accurate Reliable Early Alzheimer's Detection. IEEE Access 13: 28678-28692 (2025)- [j7]R. V. Karthik, V. Pandiyaraju, Sannasi Ganapathy:
A context and sequence-based recommendation framework using GRU networks. Artif. Intell. Rev. 58(6): 170 (2025) - [j6]V. Pandiyaraju, Sannasi Ganapathy, Thangaramya Kalidoss, R. Raunak Nahar, Arputharaj Kannan:
A new hybrid MobileNet-MLP model for secured data communication using signature verification and deep learning. Iran J. Comput. Sci. 8(1): 233-252 (2025) - [j5]V. Pandiyaraju, B. Anusha, A. M. Senthil Kumar, K. Jaspin, Shravan Venkatraman, Arputharaj Kannan:
Spatial attention-based hybrid VGG-SVM and VGG-RF frameworks for improved cotton leaf disease detection. Neural Comput. Appl. 37(14): 8309-8329 (2025) - 2024
- [j4]V. Pandiyaraju, Sannasi Ganapathy, A. M. Senthil Kumar, Jesher Joshua M, Ragav V, Sree Dananjay S, Arputharaj Kannan:
A new clinical diagnosis system for detecting brain tumor using integrated ResNet_Stacking with XGBoost. Biomed. Signal Process. Control. 96: 106436 (2024) - [i6]Pandiyaraju V, Shravan Venkatraman, Pavan Kumar S, Santhosh Malarvannan, Kannan Arputharaj:
Multi-Attention Integrated Deep Learning Frameworks for Enhanced Breast Cancer Segmentation and Identification. CoRR abs/2407.02844 (2024) - [i5]Pandiyaraju V, Shravan Venkatraman, Abeshek A, Aravintakshan S. A, Pavan Kumar S, Kannan Arputharaj:
A Dual-Attention Aware Deep Convolutional Neural Network for Early Alzheimer's Detection. CoRR abs/2407.10921 (2024) - [i4]Pandiyaraju V, Shravan Venkatraman, Abeshek A, Pavan Kumar S, Aravintakshan S. A, Senthil Kumar A M, Kannan Arputharaj:
A Channel Attention-Driven Hybrid CNN Framework for Paddy Leaf Disease Detection. CoRR abs/2407.11753 (2024) - [i3]Pandiyaraju V, Shravan Venkatraman, Abeshek A, Pavan Kumar S, Aravintakshan S. A:
Leveraging SeNet and ResNet Synergy within an Encoder-Decoder Architecture for Glioma Detection. CoRR abs/2409.00804 (2024) - [i2]Pandiyaraju V, Shravan Venkatraman, Abeshek A, Aravintakshan S. A, Pavan Kumar S, Madhan S:
An Integrated Deep Learning Framework for Effective Brain Tumor Localization, Segmentation, and Classification from Magnetic Resonance Images. CoRR abs/2409.17273 (2024) - [i1]Pandiyaraju V, Santhosh Malarvannan, Shravan Venkatraman, Abeshek A, Priyadarshini B, Arputharaj Kannan:
A Novel Adaptive Hybrid Focal-Entropy Loss for Enhancing Diabetic Retinopathy Detection Using Convolutional Neural Networks. CoRR abs/2411.10843 (2024) - 2023
- [j3]V. Pandiyaraju, Sannasi Ganapathy, N. Mohith, Arputharaj Kannan:
An optimal energy utilization model for precision agriculture in WSNs using multi-objective clustering and deep learning. J. King Saud Univ. Comput. Inf. Sci. 35(10): 101803 (2023) - 2020
- [j2]V. Pandiyaraju, Logambigai Rajasekaran, Sannasi Ganapathy, Arputharaj Kannan:
An Energy Efficient Routing Algorithm for WSNs Using Intelligent Fuzzy Rules in Precision Agriculture. Wirel. Pers. Commun. 112(1): 243-259 (2020)
2010 – 2019
- 2015
- [j1]L. Sai Ramesh, Sannasi Ganapathy, R. Bhuvaneshwari, Kanagasabai Kulothungan, V. Pandiyaraju, Arputharaj Kannan:
Prediction of User Interests for Providing Relevant Information Using Relevance Feedback and Re-ranking. Int. J. Intell. Inf. Technol. 11(4): 55-71 (2015)
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