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| Prediction of Significant Wave Height in Korea Strait Using Machine Learning |
| Sung Boo Park, Seong Yun Shin, Kwang Hyo Jung, Byung Gook Lee |
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J. Ocean Eng. Technol.. 2021;35(5):336-346. Published online September 13, 2021 DOI: https://doi.org/10.26748/KSOE.2021.021 |
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Prediction of Significant Wave Height in Korea Strait Using Machine Learning Journal of Ocean Engineering and Technology. 2021;35(5):336-346  A Univariate and multivariate machine learning approach for prediction of significant wave height OCEANS 2022, Hampton Roads. 2022; Prediction of significant wave height using machine learning and its application to extreme wave analysis Journal of Earth System Science. 2023;132(2): Coastal zone significant wave height prediction by supervised machine learning classification algorithms Ocean Engineering. 2021;221:108592 Ocean wave height prediction using ensemble of Extreme Learning Machine Neurocomputing. 2018;277:12-20 Prediction of significant wave height using spatial function Ocean Engineering. 2015;106:220-226 Prediction of significant wave height using geno-multilayer perceptron Ocean Engineering. 2013;58:144-153 Significant wave height prediction by using a spatial model Ocean Engineering. 2005;32(8-9):924-936 Wave height prediction based on CNN-LSTM 2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). 2020; Application of neural networks and support vector machine for significant wave height prediction Oceanologia. 2017;59(3):331-349 |
