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Design and Application of a Physics-Informed Machine Learning Model for Salinity Prediction in the Nakdong River Estuary: Su Hong Min, Jihoon Kang, Jung-Sung Yoon; J. Ocean Eng. Technol. October 2025;39(5):503-511. Available online October 17, 2025; DOI: https://doi.org/10.26748/KSOE.2025.037; Full text PubReader ePub PDF


Random Forest Model for Salinity Prediction in the Nakdong River Estuary Reflecting Spatio-temporal Lag Effects: Su Hong Min, Ji Hoon Kang, Joon Hun Kim, Jong-Sung Yoon; J. Ocean Eng. Technol. August 2025;39(4):394-403. Available online August 26, 2025; DOI: https://doi.org/10.26748/KSOE.2025.022; Full text PubReader ePub PDF


Optimization of Input Variables for Salinity Modeling in the Nakdong River Estuary Using Exploratory Data Analysis: Jung-A Yang, Su Hong Min, Jihoon Kang, Mandeuk Lee, Jong-Sung Yoon; J. Ocean Eng. Technol. August 2025;39(4):379-393. Available online July 18, 2025; DOI: https://doi.org/10.26748/KSOE.2025.013
Cited By 2; Full text PubReader ePub PDF


Study for Filling Missing Wave Data in Geomundo Ocean Buoy Using Artificial Neural Networks: Seongyun Shin, Seonghyun Park, Kwang Hyo Jung, Sung Boo Park; J. Ocean Eng. Technol. December 2024;38(6):426-437. Available online November 29, 2024; DOI: https://doi.org/10.26748/KSOE.2024.065
Cited By 2; Full text PubReader ePub PDF PDF(Korean)


Comparison of Wave Prediction and Performance Evaluation in Korea Waters based on Machine Learning: Heung Jin Park, Youn Joung Kang; J. Ocean Eng. Technol. February 2024;38(1):18-29. Available online February 27, 2024; DOI: https://doi.org/10.26748/KSOE.2023.040
Cited By 2; Full text PubReader ePub PDF PDF(Korean)


Review on Applications of Machine Learning in Coastal and Ocean Engineering: Taeyoon Kim, Woo-Dong Lee; J. Ocean Eng. Technol. June 2022;36(3):194-210. Available online June 30, 2022; DOI: https://doi.org/10.26748/KSOE.2022.007
Cited By 40; Full text PubReader ePub PDF


Prediction of Significant Wave Height in Korea Strait Using Machine Learning: Sung Boo Park, Seong Yun Shin, Kwang Hyo Jung, Byung Gook Lee; J. Ocean Eng. Technol. October 2021;35(5):336-346. Available online September 13, 2021; DOI: https://doi.org/10.26748/KSOE.2021.021
Cited By 10; Full text PubReader ePub PDF PDF(Korean)


Fault Classification of a Blade Pitch System in a Floating Wind Turbine Based on a Recurrent Neural Network: Seongpil Cho, Jongseo Park, Minjoo Choi; J. Ocean Eng. Technol. August 2021;35(4):287-295. Available online July 26, 2021; DOI: https://doi.org/10.26748/KSOE.2021.018
Cited By 1; Full text PubReader ePub PDF


Underwater Acoustic Research Trends with Machine Learning: Ocean Parameter Inversion Applications: Haesang Yang, Keunhwa Lee, Youngmin Choo, Kookhyun Kim; J. Ocean Eng. Technol. October 2020;34(5):371-376. Available online August 4, 2020; DOI: https://doi.org/10.26748/KSOE.2020.016
Cited By 6; Full text PubReader ePub PDF


Underwater Acoustic Research Trends with Machine Learning: Active SONAR Applications: Haesang Yang, Sung-Hoon Byun, Keunhwa Lee, Youngmin Choo, Kookhyun Kim; J. Ocean Eng. Technol. August 2020;34(4):277-284. Available online July 31, 2020; DOI: https://doi.org/10.26748/KSOE.2020.018
Cited By 24; Full text PubReader ePub PDF


Prediction of Barge Ship Roll Response Amplitude Operator Using Machine Learning Techniques: Jae Hwan Lim, Hyo Jae Jo; J. Ocean Eng. Technol. June 2020;34(3):167-179. Available online June 17, 2020; DOI: https://doi.org/10.26748/KSOE.2019.107
Cited By 3; Full text PubReader ePub PDF PDF(Korean)


Underwater Acoustic Research Trends with Machine Learning: Passive SONAR Applications: Haesang Yang, Keunhwa Lee, Youngmin Choo, Kookhyun Kim; J. Ocean Eng. Technol. June 2020;34(3):227-236. Available online June 9, 2020; DOI: https://doi.org/10.26748/KSOE.2020.017
Cited By 38; Full text PubReader ePub PDF


Underwater Acoustic Research Trends with Machine Learning: General Background: Haesang Yang, Keunhwa Lee, Youngmin Choo, Kookhyun Kim; J. Ocean Eng. Technol. April 2020;34(2):147-154. Available online April 29, 2020; DOI: https://doi.org/10.26748/KSOE.2020.015
Cited By 26; Full text PubReader ePub PDF

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