Improvised Classification Model for Cloud Based Authentication Using Keystroke Dynamics. - T. Senthil Kumar; Abhijit Suresh; Aadarsh Karumathil (FCC, 2014)

Debris Detection and Tracking System in Water Bodies Using Motion Estimation Technique. - T. Senthil Kumar; K. S. Gautam; H. Haritha (IBICA, 2015)

Dental Image Retrieval Using Fused Local Binary Pattern & Scale Invariant Feature Transform. - Suganya Suganya; S. Rajaram; S. Vishalini; R. Meena; T. Senthil Kumar (SIRS, 2015)

Survey on Various Traffic Monitoring and Reasoning Techniques. - H. Haritha; T. Senthil Kumar (CSOC (1), 2017)

Geometric mean filter with grayscale morphological method to enhance the RNFL thickness in the SD-OCT images. - T. Senthil Kumar; K. Helen Prabha (Multim. Tools Appl., 2018)

Comparative Analysis of the Fuzzy C-Means and Neuro-Fuzzy Systems for Detecting Retinal Disease. - T. Senthil Kumar; D. Kumutha (Circuits Syst. Signal Process., 2020)

Deep Learning Methods for Lung Cancer Nodule Classification: A Survey. - Pavan Kumar Illa; T. Senthil Kumar; F. Syed Anwar Hussainy (J. Mobile Multimedia, 2022)

A deep learning neural network strategy for secure wireless communication in electronic health record surveillance. - T. Senthil Kumar; L. Mohana Sundari; R. Muthalagu; K. Periyarselvam (Int. J. Electron. Heal., 2023)

Utilising blockchain technology to provide safety for smart home networks. - T. Senthil Kumar; Leo John Baptist Andrews; M. Madhini; K. Hemalatha (Int. J. Electron. Secur. Digit. Forensics, 2023)

Security enhancement in wireless sensors using blockchain technology. - C. Ravichandran; Ravi Kumar; T. Senthil Kumar; Ravi Kishore Veluri (Int. J. Electron. Secur. Digit. Forensics, 2023)

Detection of Malware Utilizing Neural Networks and Machine Learning Methods. - Velpula Nithin Krishna; T. Senthil Kumar; T. Gireesh Kumar; Anjali Tibrewal; Kartik Srinivasan; Sulakshan Vajipayajula (ICCCNT, 2024)

An efficient VLSI architecture for fast motion estimation by hybridizing parallel spiral and adaptive threshold star diamond search algorithm-based search algorithm in HEVC. - R. Satheeskumar; Bonam Raghavaiah; Geerthik S; T. Senthil Kumar (Concurr. Comput. Pract. Exp., 2024)

A novel method to detect and classify Alzheimer using naive Bayes classification algorithm. - C. Ravichandran; T. Senthil Kumar; K. Balaji; Kavitha Sandanam; Chandrasekaran Sivakumaran (Int. J. Medical Eng. Informatics, 2024)

Detection of diabetic retinopathy severity from fundus images: DCNN. - T. Senthil Kumar; R. Muthalagu; L. Mohana Sundari; M. Nalini (Int. J. Medical Eng. Informatics, 2025)

Detection and classification of Alzheimer's using super-resolution algorithm and convolutional neural network. - T. Senthil Kumar; Ashok Vajravelu; R. Muthalagu; P. Sri Latha (Int. J. Medical Eng. Informatics, 2025)

Deep learning-based malignancy prediction in thyroid nodules. - L. Mohana Sundari; M. S. Maharajan; T. Senthil Kumar; Leo John Baptist Andrews (Int. J. Medical Eng. Informatics, 2025)

Advanced Handover Optimization (AHO) using deep reinforcement learning in 5G Networks. - T. Senthil Kumar; Mardeni Roslee; J. Jayapradha; Yasir Ullah; Chilakala Sudhamani; Sufian Mousa Mitani; Anwar Faizd Osman; Fatimah Zaharah Ali (J. King Saud Univ. Comput. Inf. Sci., 2025)

Develop a novel, faster mask region-based convolutional neural network model with leave-one-subject-out to predict freezing of gait abnormalities of Parkinson's disease. - J. Ezhilarasi; T. Senthil Kumar (Neural Comput. Appl., 2025)