Prediction of wave overtopping discharges at coastal structures using interpretable machine learning-Reference-Cited by-同舟云学术

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Prediction of wave overtopping discharges at coastal structures using interpretable machine learning

Published:2023-07-03 Issue:3 Volume:65 Page:433-449
ISSN:2166-4250
Container-title:Coastal Engineering Journal
language:en
Short-container-title:Coastal Engineering Journal

Author:

Kim Taeyoon¹²^ORCID,Lee Woo-Dong³^ORCID

Affiliation:

1. Department of Civil, Construction and Environmental Engineering, North Carolina State University, Raleigh, NC, USA

2. Institute of Marine Industry, Gyeongsang National University, Tongyeong-Si, Gyeongsangnam-Do, Republic of Korea

3. Department of Ocean Civil Engineering, Gyeongsang National University, Tongyeong-Si, Gyeongsangnam-Do, Republic of Korea

Funder

National Research Foundation of Korea

Korea government

Korean government

Publisher

Informa UK Limited

Subject

Ocean Engineering,Modeling and Simulation,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21664250.2023.2233312

Reference38 articles.

1. A training algorithm for optimal margin classifiers

3. Numerical modelling of wave overtopping at dikes using OpenFOAM®

4. Wave overtopping predictions using an advanced machine learning technique

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1. Effects of Storm Waves Caused by Typhoon Bolaven (1215) on Korean Coast: A Comparative Analysis with Deepwater Design Waves;Journal of Ocean Engineering and Technology;2024-08-31

2. Interpretable machine learning scheme for predicting bridge pier scour depth;Computers and Geotechnics;2024-06

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