Estimation of Time-Dependent Pier Scour Depth Using Ensemble and Boosting-Based Data-Driven Approaches
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1901-7_48
Reference20 articles.
1. Khosravi K, Khozani ZS, Mao L (2021) A comparison between advanced hybrid machine learning algorithms and empirical equations applied to abutment scour depth prediction. J Hydrol 126100
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3. Ahmadianfar I, Jamei M, Karbasi M, et al (2021) A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups. Eng Comput 1–23
4. Pandey M, Azamathulla HM, Chaudhuri S et al (2020) Reduction of time-dependent scour around piers using collars. Ocean Eng 213:107692
5. Tao H, Habib M, Aljarah I et al (2021) An intelligent evolutionary extreme gradient boosting algorithm development for modeling scour depths under submerged weir. Inf Sci (Ny) 570:172–184
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