Tag: streamflow forecasting

A new study tests a Transformer-based physics-informed neural network against support vector regression for forecasting hydrological drought in the transboundary ...

A new deep learning framework for river flow forecasting puts flood peaks, uncertainty, and interpretability at the center of model ...

A 25-year review of artificial intelligence applications in streamflow forecasting reveals that feed-forward neural networks dominate the field while long-range ...