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New formulation for predicting total dissolved gas supersaturation in dam reservoir: application of hybrid artificial intelligence models based on multiple signal decomposition

Crossref DOI link: https://doi.org/10.1007/s10462-024-10707-4

Published Online: 2024-03-09

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

Authors

Heddam, Salim https://orcid.org/0000-0002-8055-8463
Al-Areeq, Ahmed M. https://orcid.org/0000-0003-0618-8190
Tan, Mou Leong https://orcid.org/0000-0003-3939-0336
Ahmadianfar, Iman https://orcid.org/0000-0002-9960-1222
Halder, Bijay https://orcid.org/0000-0002-4279-5214
Demir, Vahdettin https://orcid.org/0000-0002-6590-5658
Kilinc, Huseyin Cagan https://orcid.org/0000-0003-1848-2856
Abba, Sani I. https://orcid.org/0000-0001-9356-2798
Oudah, Atheer Y. https://orcid.org/0000-0003-0867-7203
Yaseen, Zaher Mundher https://orcid.org/0000-0003-3647-7137
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Text and Data Mining valid from 2024-03-09

Version of Record valid from 2024-03-09
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Article History

Accepted: 18 January 2024

First Online: 9 March 2024

Declarations

:

: The authors declare no competing interests.

: Not applicable.

: Not applicable.

: Not applicable.

: All the authors have declared their consent to publish the manuscript.