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2022 June 30
Prediction in Dissolved Oxygen Concentration and Occurrence of Hypoxia Water Mass in Jinhae Bay Based on Machine Learning Model
We carried out studies on prediction in concentration of dissolved oxygen (DO) with LSTM model and prediction in occurrence of hypoxia water mass (HWM) with decision tree. As results of study on prediction in DO concentration, a large number of Hidden node caused high complexity...
2022 June 30
Development of Analytical Solutions on Velocities of Regular Waves Generated by Bottom Wave Makers in a Flume
Analytical solutions for two-dimensional velocities of regular waves generated by bottom wave makers in a flume were derived in this study. Triangular and rectangular bottom wave makers were adopted. The velocity potential was derived based on the linear wave theory with the bot...
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pISSN : 1976-8192
eISSN : 2288-2227
Current Issue
Volume 34(3); June 2022
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47 기계학습 모형 기반 진해만 용존산소농도 및 빈산소수괴 발생 예측
박성식, 김병국, 김경회
J Korean Soc Coast Ocean Eng. 2022;34(3):47-57.   Published online June 30, 2022
doi: https://doi.org/10.9765/KSCOE.2022.34.3.47
58 바닥 조파장치가 설치된 수로에서 규칙파의 유속장에 관한 해석해 개발
정재상, 이창훈
J Korean Soc Coast Ocean Eng. 2022;34(3):58-71.   Published online June 30, 2022
doi: https://doi.org/10.9765/KSCOE.2022.34.3.58
72 AI 기법을 활용한 제주도 남서부 해역의 입자추적 예측 연구
하승윤, 김희준, 곽경일, 김영택, 윤한삼
J Korean Soc Coast Ocean Eng. 2022;34(3):72-81.   Published online June 30, 2022
doi: https://doi.org/10.9765/KSCOE.2022.34.3.72
82 규칙파 조건에서 케이슨 상치구조물의 설치위치에 따른 파압 특성
전재형, 이석찬, 김도삼, 이광호
J Korean Soc Coast Ocean Eng. 2022;34(3):82-92.   Published online June 30, 2022
doi: https://doi.org/10.9765/KSCOE.2022.34.3.82
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