Optimized machine learning models for accurate prediction of the discharge coefficient in hydraulic weirs
By: Faris Belaabed, Leila Arabet, Kamel Goudjil and Ahmed Ouamane
Authors
Faris Belaabed
Laboratory of Hydraulic Planning and Environment, University of Biskra, Algeria
Leila Arabet
Department of Civil and Hydraulic Engineering, Laboratory LGCE, Faculty of Sciences and Technologies, University of Jijel, Algeria
Kamel Goudjil
Department of Civil Engineering, Mohammed Cherif Messaadia University, Laboratory INFRARES, Souk-Ahras, Algeria
Ahmed Ouamane
Laboratory of Hydraulic Planning and Environment, University of Biskra, Algeria
Language: English
Page range: 295 - 309
Submitted on: May 11, 2025
Accepted on: Sep 14, 2025
Published on: Sep 27, 2025
Published by: Slovak Academy of Sciences, Institute of Hydrology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
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© 2025 Faris Belaabed, Leila Arabet, Kamel Goudjil, Ahmed Ouamane, published by Slovak Academy of Sciences, Institute of Hydrology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.