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Evaluating ability of three types of discrete wavelet transforms for improving performance of different ML models in estimation of daily-suspended sediment load

Crossref DOI link: https://doi.org/10.1007/s12517-021-09282-7

Published Online: 2021-12-23

Published Print: 2022-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Esmaeili-Gisavandani, Hassan

Farajpanah, Hiwa

Adib, Arash

Kisi, Ozgur

Riyahi, Mohammad Mehdi

Lotfirad, Morteza

Salehpoor, Jaber
License Information

Text and Data Mining valid from 2021-12-23

Version of Record valid from 2021-12-23
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Article History

Received: 4 October 2021

Accepted: 11 December 2021

First Online: 23 December 2021

Declarations

:

: The authors declare that they have no competing interests.

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