TARU PUBLICATIONS
Author

Bhavana Tiple

Department of Computer Engineering and Technology Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, 411038, India

Published papers
3
Citations
0
Views
479
Downloads
26

Publications

3 papers
Open Access Research Article·pp. 1681–1691·Vol. 28, Issue 5-AAug 2025

Design and implementation of quantum-resistant cryptographic algorithms in blockchain networks

Shyam Deshmukh, Sinu Nambiar, Pallavi Sachin Patil, Madhura Phatak, Bhavana Tiple, Aniket Prakashrao Munshi

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2168

In this paper: Traditional cryptographic methods are in big danger from quantum computing, which could make blockchain networks less safe. This essay looks at how to make and use quantum-resistant encryption methods...

AbstractReferencesFull Text PDF (727 KB)Views: 143Downloads: 10Citations: 0
Open Access Research Article·pp. 1141–1151·Vol. 46, Issue 4-BMay 2025

A framework for multi-task learning optimization in deep neural networks : Balancing task priorities for improved performance

Ravindra K. Moje, Bhavana Tiple, Shankar M. Patil, Tushar Jadhav, Aniket Prakashrao Munshi, Akshay Revekar

Published Online: 01 May 2025DOI: 10.47974/JIOS-1898

In this paper: Deep neural networks (DNNs) have made multi-task learning (MTL) a powerful way to learn multiple linked tasks at once, using shared models to improve generalization and speed. But successfully matchin...

AbstractReferencesFull Text PDF (819 KB)Views: 170Downloads: 8Citations: 0
Open Access Research Article·pp. 1165–1175·Vol. 46, Issue 4-BMay 2025

Exploring alternative techniques for accelerating deep learning convergence for batch normalization

Shyam Deshmukh, Bhavana Tiple, Gurunath T. Chavan, Madhura Phatak, Gaurav Gondhalekar, Rajesh B. Raut

Published Online: 01 May 2025DOI: 10.47974/JIOS-1900

In this paper: Deep learning models are the most important part of current AI systems because they can learn complex patterns from data in a very impressive way. However, creating these models often takes a lot of t...

AbstractReferencesFull Text PDF (491 KB)Views: 166Downloads: 8Citations: 0