Explainable, interpretable, and physics-guided AI for infrared thermography
Journal: Quantitative InfraRed Thermography Journal
Infrared thermography (IRT) is increasingly enhanced by AI/ML for forward- and inverse-thermal modeling, diagnostics, and prognostics. Industrial deployment, however, hinges on certification and compliance workflows (e.g., safety cases and qualification), where explainability and interpretability are essential to justify decisions and satisfy standards bodies and regulators. This Special Issue (SI) advances physics-…