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Vidya S. Samadi

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Open access Sep 2026

Riverine Flood Forecasting Using Advanced Deep Learning Approaches

Analysis of riverine flood forecasting models revealed that PatchTST outperformed the other models during moderate‐flow regimes while falling behind during extreme flooding events, and sensitivity analysis results indicated that PatchTST was slightly more sensitive to the selected training data features.

Krishna Panthi, Mostafa Saberian, Vidya S. Samadi · 0 citations
Open access Jul 2026

A Coupled AquaCrop–Richards Model for Improved Crop Yield Prediction Through Physically Based Soil Water Dynamics

Crop modelling is essential for agricultural water management but often relies on simplified water balance routines that limit representation of soil moisture dynamics. To address this limitation, we developed a coupled model that integrates the 1‐D Richards equation, solved using a finite difference method into th...

Krishna Panthi, Vidya S. Samadi, Carlos Toxtli · 1 citation

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