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Using machine learning methods for supporting GR2M model in runoff estimation in an ungauged basin.
- Published in:
- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-99164-5
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- Article
Long-Short Term Memory Technique for Monthly Rainfall Prediction in Thale Sap Songkhla River Basin, Thailand.
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- Symmetry (20738994), 2022, v. 14, n. 8, p. 1599, doi. 10.3390/sym14081599
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- Article
Estimating FAO Blaney-Criddle b-Factor Using Soft Computing Models.
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- Atmosphere, 2022, v. 13, n. 10, p. N.PAG, doi. 10.3390/atmos13101536
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- Article
Performance Evaluation of a Two-Parameters Monthly Rainfall-Runoff Model in the Southern Basin of Thailand.
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- Water (20734441), 2021, v. 13, n. 9, p. 1226, doi. 10.3390/w13091226
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- Article
Imputation of missing monthly rainfall data using machine learning and spatial interpolation approaches in Thale Sap Songkhla River Basin, Thailand.
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- Environmental Science & Pollution Research, 2024, v. 31, n. 41, p. 54044, doi. 10.1007/s11356-022-23022-8
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- Article