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What is Explainable AI-driven Assessment of Hydro about?

This study presents an explainable AI framework combining Kolmogorov Arnold networks (KAN) and Shapley additive exPlanations (SHAP) for daily river discharge forecasting in the Subarnarekha river basin, focusing on the impacts of hydroclimatic interactions. The model demonstrated high predictive performance across four gauging stations, identifying key predictors such as relative humidity and temperature, while also providing insights into feature importance and uncertainty patterns. This novel approach enh

Author

Yagnesh Vyas

Language

EN