Integrating machine learning and empirical approaches for scour depth estimation at sluice gates: evaluating tree-based models, hyperparameter tuning, and proposing new formulas
By: Xuan-Hien Le and Le Thi Thu Hien
Authors
Xuan-Hien Le
Faculty of Water Resources Engineering, Thuyloi University, Vietnam
Le Thi Thu Hien
Faculty of Water Resources Engineering, Thuyloi University, Vietnam
DOI: https://doi.org/10.2478/johh-2025-0004 | Journal eISSN: 1338-4333 (formerly 0042-790X) | Journal ISSN: 0042-790X
Language: English
Page range: 51 - 64
Submitted on: Aug 28, 2024
Accepted on: Dec 8, 2024
Published on: Mar 5, 2025
Published by: Slovak Academy of Sciences, Institute of Hydrology
In partnership with: Paradigm Publishing Services
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© 2025 Xuan-Hien Le, Le Thi Thu Hien, published by Slovak Academy of Sciences, Institute of Hydrology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.