Machine Learning and Deep Learning Approaches for Flood Prediction
Flooding remains one of the most damaging natural hazards worldwide, and the growing availability of hydrological sensor networks and satellite data has pushed researchers toward data-driven alternatives to conventional physics-based hydrological models. This paper synthesizes findings from six recent bodies of work —...