... and convolutional neural networks (CNN) for automated defect detection from rail imagery. Model outputs were combined using a calibrated probabilistic fusion mechanism to generate reliable failure risk estimates. The framework was trained using a five-year dataset from 127 high-traffic Moroccan rail segments...