19 citations · 19 across the 3 of their papers we have counts for
4 papers
Distributed Hydrological Modeling in the Feature Space
Mohamad Hakam Shams Eddin, Maria Luisa Taccari, Yikui Zhang +3
Accurate forecasting of river discharge and floods is very challenging. River dynamics are affected by storage, meteorological forcing, and flow propagation at different spatial an…
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…
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…
Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting
Mohamad Hakam Shams Eddin, Ribana Roscher, Juergen Gall
Climate change is expected to intensify and increase extreme events in the weather cycle. Since this has a significant impact on various sectors of our life, recent works are conce…