Sinung Suakanto

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...

Smartphone-Based Obstacle Distance Estimation for Assistive Navigation Using YOLO and Monocular Depth Fusion: Architecture and Preliminary Baseline Evaluation

Navigating complex environments presents significant challenges for the estimated 285 million visually impaired individuals worldwide, directly impacting their mobility and quality of life [1]. While traditional assistive systems rely on expensive and bulky hardware-based depth sensors, such as LiDAR or structured ligh...

Integrating TOGAF into an AI-Driven Green Enterprise Architecture for Sustainable Digital Business Transformation