TARU PUBLICATIONS
Author

Santosh H. Lavate

Department of Electronics and Telecommunication Engineering AISSMS College of Engineering, Pune, Maharashtra, 411001, India

Published papers
4
Citations
0
Views
457
Downloads
30

Publications

4 papers
Open Access Research Article·pp. 637–644·Vol. 29, Issue 3Mar 2026

Integrating AI-driven mathematical modeling for social and environmental impact assessment

Indrani Hazarika, Smita Gambhire, Robert Halam, Santosh H. Lavate

Published Online: 18 Mar 2026DOI: 10.47974/JIM-2498

In this paper: Through this research, a new method is presented that involves a sophisticated mathematical modeling and artificial intelligence (AI) in order to simplify the process of determining the influence that...

AbstractReferencesFull Text PDF (484 KB)Views: 73Downloads: 10Citations: 0
Open Access Research Article·pp. 655–662·Vol. 29, Issue 3Mar 2026

Mathematical foundations of neural networks for modeling human cognition in AI systems

Sulakshana Malwade, Santosh H. Lavate, Pradnya Borkar, Pundlik Dattatray Jadhav

Published Online: 18 Mar 2026DOI: 10.47974/JIM-2500

In this paper: In this paper it examines the mathematical principles of the neural networks and how these can be applied to simulate the thoughts of people in computer systems that are expected to be intelligent. Ce...

AbstractReferencesFull Text PDF (418 KB)Views: 86Downloads: 5Citations: 0
Open Access Research Article·pp. 1733–1742·Vol. 28, Issue 5-AAug 2025

Applied discrete mathematics in developing efficient cryptographic algorithms for enhancing information security in WSN  

Sanjivani Hemant Kulkarni, Vidya V. Deshmukh, Ravindra K. Moje, Santosh H. Lavate, Yatin Gandhi, Nilesh Shelke

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2173

In this paper: When it comes to Wireless Sensor Systems (WSNs), solid data security is exceptionally vital since sensor hubs can be assaulted in numerous ways. This exposition looks at how discrete arithmetic can be...

AbstractReferencesFull Text PDF (481 KB)Views: 114Downloads: 7Citations: 0
Open Access Research Article·pp. 1177–1187·Vol. 46, Issue 4-BMay 2025

An optimization strategy for portfolio management leveraging deep reinforcement learning for automated stock trading

Gurunath T. Chavan, Santosh H. Lavate, Pradip Ram Selokar, Deepti Raverkar, Aniket Prakashrao Munshi, Kriti Kusum

Published Online: 01 May 2025DOI: 10.47974/JIOS-1901

In this paper: Traditional strategies for managing portfolios often rely on rigid models and people’s gut feelings, which might not work as well when the market is changing and unclear. Instead, DRL seems like a goo...

AbstractReferencesFull Text PDF (539 KB)Views: 184Downloads: 8Citations: 0