Intelligent Synchronization of Machine Learning Models Using Graph Neural Networks: Application to Flood Prediction
Flood prediction remains a critical challenge in environmental risk management and disaster preparedness. Accurate river-level forecasting is essential for the development of reliable early warning systems and the mitigation of flood-related risks. However, conventional ensemble approaches, such as averaging and majori...