Skip to content
Log in
Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

B. R. Krishna

View on Semantic Scholar

4 papers indexed here

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.

Conference Aug 2026

Human-Centric Explainable Federated Threat Intelligence for Trustworthy Cyber-Physical Systems

Complex cyber-attacks, privacy sensitive threats and distributed intrusion are becoming more common against Cyber-Physical Systems (CPS), which are the enablers of and underlying smart manufacturing, industrial Internet of Things, healthcare monitoring, and intelligent automation. Older, centralized intrusion detection...

Subrhamanyam Kolusu, S. Polisetty, M. Srinivas et al. · 0 citations
Open access Sep 2026

Intelligent material recognition from thermal signatures using hybrid deep learning frameworks

Accurate material identification using thermal infrared signatures has significant implications for industrial inspection, autonomous systems, and non-contact diagnostics. In this study, we propose a physics-informed deep learning framework for intelligent material recognition based on transient thermal behavior. A lar...

Venkateswarlu Sunkari, T. K. Babu, V. S. N. Murthy et al. · 0 citations
Conference Aug 2026

Quantifying the Information Ceiling of Classical Machine Learning for BMS-Constrained Battery State-of-Health Estimation

In this paper, the predictive ceiling of the classical machine learning-based lithium-ion battery state-of-health (SOH) estimation is estimated using 4 signal constraints. Current monitoring is also available for any production battery management system. Also available are the state of charge, terminal voltage, load cu...

Rajendra Kodamanchili, Talamu Rajyalakshmi, Gorinkala Hemasri et al. · 0 citations
Conference Aug 2026

Attention-Enhanced CNN for Malware Image Classification with Explainable AI

Malware classification is an essential cybersecurity task for detecting and mitigating harmful software threats. One kind of current deep learning method that has shown promising results in the classification of malware photos is convolutional neural networks (CNNs). Major challenges that remain include a lack of model...

B. R. Krishna, H. Narayanan, S. V. Sai 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.