Enhancing hydrological modeling with transformers : a case study for 24-h streamflow prediction
© 2024 The Authors This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).
Veröffentlicht in: | Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 89(2024), 9 vom: 11. Mai, Seite 2326-2341 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2024
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Zugriff auf das übergeordnete Werk: | Water science and technology : a journal of the International Association on Water Pollution Research |
Schlagworte: | Journal Article deep learning flood forecasting machine learning rainfall-runoff modeling streamflow forecasting transformers |
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