Physics-Informed XAI Framework for Real-Time Multi-Fuel Characterization

This software provides a Shiny-based, physics-informed explainable artificial intelligence framework for real-time spectral characterization and transparent classification of gasoline and diesel fuels. The framework integrates physics-derived spectral features with interpretable machine learning models, enabling both global and local explainability of fuel classification decisions.