High Speed Train System

High-speed train systems are undergoing rapid advancements driven by the need for improved safety, efficiency, and operational reliability. Current research focuses heavily on leveraging AI, particularly deep learning models like CNNs, RNNs, and transformers, for tasks such as predictive maintenance (using vibration and acoustic data), automated defect detection (via image analysis), and optimized resource allocation (e.g., for communication networks). These advancements are crucial for enhancing safety protocols, reducing operational costs, and improving the overall passenger experience, impacting both the scientific community through methodological innovations and practical applications in railway engineering and management.