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Keywords: XGBoost
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Proceedings Papers

Proc. ASME. OMAE2024, Volume 6: Polar and Arctic Sciences and Technology; CFD, FSI, and AI, V006T08A043, June 9–14, 2024
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2024-127930
... by this study, lies in the advancements of machine learning and deep neural networks. In this research, the spatio-temporal relationship between wind and wave conditions is established using the XGBoost machine learning method and Informer deep neural networks. This approach enables effective predictions...