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Short-term salinity prediction for coastal areas of the Vietnamese Mekong Delta using various machine learning algorithms: a case study in Soc Trang Province

Crossref DOI link: https://doi.org/10.1007/s13201-025-02419-z

Published Online: 2025-03-19

Published Print: 2025-04

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

Authors

Dang, Le Thi Thanh https://orcid.org/0009-0009-1785-1980
Ishidaira, Hiroshi

Nguyen, Ky Phung

Souma, Kazuyoshi

Magome, Jun
Funding

Funding for this research was provided by:

JSPS Ronpaku
License Information

Text and Data Mining valid from 2025-03-19

Version of Record valid from 2025-03-19
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Article History

Received: 3 October 2023

Accepted: 18 February 2025

First Online: 19 March 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

: This article does not contain any studies with human participants or animals performed by any of the authors.

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