Fatih Fikry Oktavianto

Spatial-Augmented XGBoost for Railway Track Geometry Forecasting under Limited Temporal Observations

Track geometry forecasting under limited temporal observations represents a persistent challenge in railway infrastructure management, particularly in networks where systematic inspection programs are recent and historical records span only a small number of cycles. Precise track geometry is fundamental to ensuring ope...