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Articles

Prediction of equilibrium scour depth in uniform non-cohesive sediments downstream of an apron using computational intelligence

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Pages 28-41 | Received 05 Aug 2014, Accepted 12 Apr 2016, Published online: 12 May 2016

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Tianyu Wang, Philippe Reiffsteck, Christophe Chevalier, Zhehao Zhu, Chi-Wei Chen & Franziska Schmidt. (2023) A novel extreme gradient boosting algorithm based model for predicting the scour risk around bridge piers: application to French railway bridges. European Journal of Environmental and Civil Engineering 27:3, pages 1104-1122.
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Dawei Guan, Jingang Liu, Yee-Meng Chiew, Jian-Hao Hong & Liang Cheng. (2023) A comparison between artificial neural network algorithms and empirical equations applied to submerged weir scour evolution prediction. International Journal of Sediment Research 38:1, pages 105-114.
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Bingjing Lu, Valeriy Petukhov, Minxi Zhang, Xuhong Wang, Shaolin Yue, Huan Zhou, Aleksei Kholodov & Guoliang Yu. (2022) Prediction of flow-induced local scour depth at the uniform bridge pier using masked attention neural network. Ocean Engineering 266, pages 113018.
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Younes Shahsavani, Seyed Hossein Mohajeri, Mojtaba Mehraein & Ozgur Kisi. (2022) Prediction of temporal variation of scour hole dimensions due to plane wall jets: Application of new soft computing techniques. Ocean Engineering 251, pages 111031.
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Ahmad Sharafati, Masoud Haghbin, Davide Motta & Zaher Mundher Yaseen. (2019) The Application of Soft Computing Models and Empirical Formulations for Hydraulic Structure Scouring Depth Simulation: A Comprehensive Review, Assessment and Possible Future Research Direction. Archives of Computational Methods in Engineering 28:2, pages 423-447.
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