Optimized Transfer Learning Models for Rail Surface Defect Classification with Explainable AI Validation
Rail surface defects such as flaking, spalling, and squat are critical indicators of railway track degradation and require reliable and efficient automated inspection systems to ensure operational safety. This study presents a comparative evaluation of seven state-of-the-art pre-trained Convolutional Neural Network (CN...