TARU PUBLICATIONS
Author

T. Gopalakrishnan

Department of Information Technology Manipal Institute of Technology Bengaluru  Manipal Academy of Higher Education, Manipal, Manipal, 576104, India

Published papers
4
Citations
4
Views
973
Downloads
28

Publications

4 papers
Open Access Research Article·pp. 647–658·Vol. 28, Issue 2Mar 2025

Fractal image compression using digital cone metric space

T. Gopalakrishnan, Hussein Z. Almngoshi, Vijaya Kumar Koppula, K. Dinesh, Vijaya Krishna Sonthi, Sudhakar Sengan, Pankaj Dadheech

Published Online: 15 Mar 2025DOI: 10.47974/JIM-2108

In this paper: This work presents Fixed Point Theorems (FPT) on Digital Images (DI) based on the Banach contraction concept developed. The study aims to develop the application of Banach Contraction Mapping Theory (...

AbstractReferencesFull Text PDF (415 KB)Views: 178Downloads: 5Citations: 2
Open Access Research Article·pp. 2143–2154·Vol. 27, Issue 7Oct 2024

Leveraging blockchain technology to combat deception, deepfake, and counterfeit system

T. Gopalakrishnan, Hayder M. A. Ghanimi, Tanweer Alam, K. Sreekanth, K. E. Purushothaman, Sudhakar Sengan, Pankaj Dadheech

Published Online: 15 Oct 2024DOI: 10.47974/JDMSC-2087

In this paper: Counterfeit technology propagation and deepfake systems threaten authenticity, trust, and data integrity. This research article proposes a novel technique that leverages Blockchain Technology (BT) int...

AbstractReferencesFull Text PDF (462 KB)Views: 306Downloads: 7Citations: 2
Open Access Research Article·pp. 203–214·Vol. 27, Issue 2-AMar 2024

Chebyshev polynomial approximation in CNN for zero-knowledge encrypted data analysis

Hayder M. A. Ghanimi, T. Gopalakrishnan, G. Joel Sunny Deol, K. Amarendra, Pankaj Dadheech, Sudhakar Sengan

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1880

In this paper: Integrating Deep Learning (DL) techniques in Convolutional Neural Networks (CNNs) with encrypted data analysis is an emerging field for enhancing data privacy and security. A significant challenge in...

AbstractReferencesFull Text PDF (378 KB)Views: 312Downloads: 9Citations: 0
Open Access Research Article·pp. 371–382·Vol. 27, Issue 2-AMar 2024

Security and privacy concerns in social networks mathematically modified metaheuristic-based approach

Raguru Jaya Krishna, T. Gopalakrishnan, M. Divyapushpalakshmi, K. Amarendra, Pankaj Dadheech, Sudhakar Sengan

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1892

In this paper: Potential risks and vulnerabilities in Social Networks (SN) that may threaten the confidentiality, accuracy, and accessibility of data provided by users have been identified as safety risks. Unauthori...

AbstractReferencesFull Text PDF (292 KB)Views: 177Downloads: 7Citations: 0