2 papers
cs.CV2025
RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting
Mohamad Hakam Shams Eddin, Yikui Zhang, Stefan Kollet +1
Recent deep learning approaches for river discharge forecasting have improved the accuracy and efficiency in flood forecasting, enabling more reliable early warning systems for ris…
cs.CV2024
Identifying Spatio-Temporal Drivers of Extreme Events
Mohamad Hakam Shams Eddin, Juergen Gall
The spatio-temporal relations of impacts of extreme events and their drivers in climate data are not fully understood and there is a need of machine learning approaches to identify…