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Prediction of daily chlorophyll-a concentration in rivers by water quality parameters using an efficient data-driven model: online sequential extreme learning machine

Crossref DOI link: https://doi.org/10.1007/s11600-021-00678-3

Published Online: 2021-09-29

Published Print: 2021-12

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

Authors

Alizamir, Meysam

Heddam, Salim

Kim, Sungwon

Gorgij, Alireza Docheshmeh

Li, Peiyue

Ahmed, Kaywan Othman

Singh, Vijay P.
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Text and Data Mining valid from 2021-09-29

Version of Record valid from 2021-09-29
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Article History

Received: 23 March 2021

Accepted: 6 September 2021

First Online: 29 September 2021

Declarations

:

: The authors have no conflict of interest to declare.

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