Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

B. Jyothi

h-index 7 View on Semantic Scholar

We have 3 of 26 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Review Open access Sep 2026

Smart internet of things driven vehicle safety and battery management system

This study strengthened the automotive relevance by emphasizing how this integrated platform enhances emergency responsiveness, supports predictive maintenance, and offers practical value for EVs, commercial fleet operations, and broader intelligent transportation applications.

B. Jyothi, Bhavana Pabbuleti, Ravi Ponnala et al. · 0 citations
Open access Aug 2026

Energy-efficient scalable canonical PFC converter with model predictive control for universal-grid EV battery charging

This article presents a scalable and energy-efficient bridgeless canonical switching cell (CSC) based power factor correction (PFC) converter integrated with finite control set model predictive control (FCS–MPC) for low-voltage electric vehicle battery charging under universal grid conditions. Conventional boost-derive...

B. Jyothi, B. A. Kumar, Arvind R. Singh et al. · 0 citations
Open access Sep 2026

Advanced AI-driven battery state estimation using deep learning and ensemble models

A hybrid data-driven framework that combines machine learning and deep learning techniques for SOC and SOH prediction and demonstrates the framework’s practicality for advanced battery management systems (BMS) in EV applications is presented.

N. Keerthi, B. Jyothi, M. Sharanya et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.