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Ying-Da Fan

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Open access Sep 2026

HydroTFT: a cross-basin attention model for multi-horizon rainfall–runoff prediction

Streamflow prediction is essential for water resources management, flood forecasting, and climate resilience. Long short-term memory (LSTM) networks have advanced large-sample hydrology through cross-basin learning, but their recurrent architectures have limited ability to capture long-range temporal dependencies, part...

Qi Cheng, Ying-Da Fan, Xiaowei Jia et al. · 0 citations

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