Machine learning models coupled with empirical mode decomposition for simulating monthly and yearly streamflows: a case study of three watersheds in Ontario, Canada.

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Bibliographic Details
Title: Machine learning models coupled with empirical mode decomposition for simulating monthly and yearly streamflows: a case study of three watersheds in Ontario, Canada.
Authors: Parisouj, Peiman1,2, Changhyun Jun1,3, cjun@cau.ac.kr, Bateni, Sayed M.2, Heggy, Essam4,5, Band, Shahab S.6, shahab@yuntech.edu.tw
Source: Engineering Applications of Computational Fluid Mechanics; Dec2023, Vol. 17 Issue 1, p1-28, 28p
Database: Applied Science & Technology Source
Description
ISSN:19942060
DOI:10.1080/19942060.2023.2242445