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Abstract: Physics-Informed Recurrent Models with SHAP-Based Interpretability for Sensor-Level Rainfall Prediction in the Seveso Basin, Northern Italy (AGU25)

Physics-Informed Recurrent Models with SHAP-Based Interpretability for Sensor-Level Rainfall Prediction in the Seveso Basin, Northern Italy

Shengshen Li, Xiangyang Song and Giovanna Venuti, Politecnico di Milano, Department of Civil and Environmental Engineering, Milan, Italy
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