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Applying Data-Driven Modeling for Streamflow Prediction in Semi-Arid Watersheds: A Comparative Evaluation of Machine Learning and Deep Learning Methodologies

Crossref DOI link: https://doi.org/10.1007/s00024-024-03607-9

Published Online: 2024-11-13

Published Print: 2024-12

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

Authors

Sarıgöl, Metin

Katipoğlu, Okan Mert https://orcid.org/0000-0001-6421-6087
Dalkilic, Hüseyin Yildirim https://orcid.org/0000-0002-4405-9341
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Text and Data Mining valid from 2024-11-13

Version of Record valid from 2024-11-13
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Article History

Received: 22 May 2024

Revised: 26 September 2024

Accepted: 2 November 2024

First Online: 13 November 2024

Declarations

:

: The authors declare no competing interests.

: The manuscript complies with all the ethical requirements. The paper was not published in any journal.

: Not applicable.

: Not applicable.

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