Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process
Streamflow forecasting has always been important in water resources management, particularly the peak flow, which often determines the seriousness of the impending flood. However, the highly imbalanced flow distribution often hinders the machine learning algorithm's performance. In this paper,...
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Main Authors: | Chong K.L., Huang Y.F., Koo C.H., Sherif M., Ahmed A.N., El-Shafie A. |
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Other Authors: | 57208482172 |
Format: | Article |
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Springer Science and Business Media Deutschland GmbH
2024
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