Nii Attoh-Okine

A Hybrid Quantum–Classical Framework for Synthetic Data-Driven Railway Defect Prediction and Safety Enhancement

Abstract Track geometry defect detection is often limited by the scarcity of defective observations in inspection data sets, which reduces the effectiveness of machine learning models. This study evaluates whether synthetic data can improve defect prediction under such conditions...