Funder
Natural Sciences and Engineering Research Council of Canada
Subject
Water Science and Technology
Reference111 articles.
1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., ... & Zheng, X. (2016). Tensorflow: A system for large-scale machine learning. In12th {USENIX} symposium on operating systems design and implementation ({OSDI} 16)(pp. 265-283).
2. Comparison of different quantile regression methods to estimate predictive hydrological uncertainty in the Upper Chao Phraya River Basin, Thailand;Acharya;J. Flood Risk Manage.,2020
3. The CAMELS data set: catchment attributes and meteorology for large-sample studies;Addor;Hydrol. Earth Syst. Sci.,2017
4. Theory-guided machine learning applied to hydrogeology—state of the art, opportunities and future challenges;Adombi;Hydrgeol. J.,2021
5. Modeling soil water content and reference evapotranspiration from climate data using deep learning method;Alibabaei;Appl. Sci.,2021
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