M. Akhmetzhanov

A Hybrid Ensemble for Early Flood Risk Forecasting Using Multimodal Spatiotemporal Data

This study presents a leakage-proof hybrid machine learning framework for early flood risk forecasting using multimodal spatiotemporal tabular data. An event-based dataset covering Kazakhstan from 2001 to 2021 was created by integrating topographic characteristics, hydrometeorological variables, long-term surface water...