Enhancing hydrological modeling with transformers: a case study for 24-h streamflow prediction
In this paper, we address the critical task of 24-h streamflow forecasting using advanced
deep-learning models, with a primary focus on the transformer architecture which has seen …
deep-learning models, with a primary focus on the transformer architecture which has seen …
Better localized predictions with Out-of-Scope information and Explainable AI: One-Shot SAR backscatter nowcast framework with data from neighboring region
Abstract Synthetic Aperture Radar (SAR) provides 10-m weather-independent global Earth
surface observations for various tasks such as land cover land use map**, water body …
surface observations for various tasks such as land cover land use map**, water body …