Comparison of Classical and Machine Learning Methods in Estimation of Missing Streamflow Data
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Publisher
Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s11269-023-03730-7.pdf
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4. Ahmadi M, Moeini A, Ahmadi H et al (2019) Comparison of the performance of SWAT, IHACRES and artificial neural networks models in rainfall-runoff simulation (case study: Kan watershed, Iran). Phys Chem Earth Parts a/b/c 111:65–77. https://doi.org/10.1016/j.pce.2019.05.002
5. Aieb A, Madani K, Scarpa M et al (2019) A new approach for processing climate missing databases applied to daily rainfall data in Soummam watershed. Algeria. Heliyon 5:e01247. https://doi.org/10.1016/j.heliyon.2019.e01247
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1. Assessment of Different Methods for Estimation of Missing Rainfall Data;Water Resources Management;2024-07-31
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