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Estimation of the Input Wave Height of the Wave Generator for Regular Waves by Using Artificial Neural Networks and Gaussian Process Regression
Jung-Eun Oh, Sang-Ho Oh
J Korean Soc Coast Ocean Eng. 2022;34(6):315-324.   Published online December 27, 2022
doi: https://doi.org/10.9765/KSCOE.2022.34.6.315
                        
Estimation of Significant Wave Heights from X-Band Radar Based on ANN Using CNN Rainfall Classifier
Heeyeon Kim, Kyungmo Ahn, Chanyeong Oh
J Korean Soc Coast Ocean Eng. 2021;33(3):101-109.   Published online June 30, 2021
doi: https://doi.org/10.9765/KSCOE.2021.33.3.101
                           Cited By 2
Estimation of Significant Wave Heights from X-Band Radar Using Artificial Neural Network
Jaeseong Park, Kyungmo Ahn, Chanyeong Oh, Yeon S. Chang
J Korean Soc Coast Ocean Eng. 2020;32(6):561-568.   Published online December 31, 2020
doi: https://doi.org/10.9765/KSCOE.2020.32.6.561
                           Cited By 5
Prediction of Wave Breaking Using Machine Learning Open Source Platform
Kwang-Ho Lee, Tag-Gyeom Kim, Do-Sam Kim
J Korean Soc Coast Ocean Eng. 2020;32(4):262-272.   Published online August 31, 2020
doi: https://doi.org/10.9765/KSCOE.2020.32.4.262
                           Cited By 4
Wave Height and Downtime Event Forecasting in Harbour with Complex Topography Using Auto-Regressive and Artificial Neural Networks Models
Jin-Hak Yi, Kyong-Ho Ryu, Won-Dae Baek, Weon-Mu Jeong
J Korean Soc Coast Ocean Eng. 2017;29(4):180-188.   Published online August 31, 2017
doi: https://doi.org/10.9765/KSCOE.2017.29.4.180
                           Cited By 3
Calculation of Stability Number of Tetrapods Using Weights and Biases of ANN Model
Jae Sung Lee, Kyung-Duck Suh
J Korean Soc Coast Ocean Eng. 2016;28(5):277-283.   Published online October 31, 2016
doi: https://doi.org/10.9765/KSCOE.2016.28.5.277
                           Cited By 4
The Prediction of Water Temperature at Saemangeum Lake by Neural Network
J Korean Soc Coast Ocean Eng. 2015;27(1):56-62.   Published online February 28, 2015
doi: https://doi.org/10.9765/KSCOE.2015.27.1.56
                           Cited By 2
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