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...