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Improved Transformer Model for Enhanced Monthly Streamflow Predictions of the Yangtze River

Over the past few decades, floods have severely damaged production and daily life, causing enormous economic losses. Streamflow forecasts prepare us to fight floods ahead of time and mitigate the disasters arising from them. Streamflow forecasting demands a high-capacity model that can make precise...

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Main Authors: Chuanfeng Liu, Darong Liu, Lin Mu
Format: Artigo
Language:Inglês
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Streamflow prediction
Yangtze River
deep learning
transformer
variational modal decomposition
flood forecasts
Online Access:https://ieeexplore.ieee.org/document/9783048/
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