Smoothing the difference-based estimates of variance using variational mode decomposition. - T. Palanisamy (Commun. Stat. Simul. Comput., 2017)

A Combined Wavelet and Variational Mode Decomposition Approach for Denoising Texture Images. - R. Gokul; A. Nirmal; G. Dinesh Kumar; S. Karthic; T. Palanisamy (CVIP (2), 2020)

Evolving malware variants as antigens for antivirus systems. - Ritwik Murali; T. Palanisamy; C. Shunmuga Velayutham (Expert Syst. Appl., 2023)

Two-stage variational mode decomposition approach to enhance the estimates of variance function. - S. Dhanushya; T. Palanisamy (Commun. Stat. Simul. Comput., 2023)

Rule-oriented Approach for Knowledge acquisition from Database. - B. Aakash; S. S. Uma Sankari; Senthil Kumar Thangavel; T. Palanisamy (ICCCNT, 2024)

Shielding Cyberspace: A Machine Learning Approach for Malicious URL Detection. - P. Anusri; S. Sneha; Prabhu Natarajan; T. Palanisamy; Senthil Kumar Thangavel (ICCCNT, 2024)

Design of Cost Function Minimization Algorithm for Computer Vison based model building. - K. S. Gautam; H. Haritha; Senthil Kumar Thangavel; T. Palanisamy (ICCCNT, 2024)

Towards Real-Time Human Activity Recognition: A Machine Learning Perspective. - Saikrishna Rajanidi; R. Saminathan; Sebin Beebi Philip; T. Palanisamy; Senthil Kumar Thangavel; Tirumala Kumar Kandukuru (ICCCNT, 2024)