Integrating multi-task learning with a differentiable physics constrained framework for hydrological forecasting
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DOAJ
Abstract Accurate prediction of terrestrial water cycle variables like soil moisture (SM) and evapotranspiration (ET) is crucial, yet existing Deep Learning (DL) models face limitations. Many adopt Single-Task Learning (...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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