Prediction of the DO concentration using the machine learning algorithm: case study in Oncheoncheon, Republic of Korea
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Lim,Heesung,
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An,Hyunuk,
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Choi,Eunhyuk,
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Kim,Yeonsu
피인용문헌(Cited by)
- .
"Machine learning-based prediction of seasonal hypoxia in eutrophic estuary using capacitive potentiometric sensor"
Marine environmental research,
vol. 196
p.106445-.
2024.
doi:10.1016/j.marenvres.2024.106445
- .
"Prediction of Dissolved Oxygen Factor at Oncheon Stream Watershed Using Long Short-Term Memory Algorithm"
Water,
vol. 16(17),
p.2363-.
2024.
doi:10.3390/w16172363
- .
"Prediction of pollution loads in agricultural reservoirs using LSTM algorithm: case study of reservoirs in Nonsan City"
Korean journal of agricultural science,
vol. 49(2),
p.193-.
2022.
doi:10.7744/kjoas.20220016
- .
"Long Short Term Memory 모델 기반 Case Study를 통한 낙동강 하구역의 용존산소농도 예측"
한국해안·해양공학회논문집,
vol. 33(6),
p.238-.
2021.
doi:10.9765/KSCOE.2021.33.6.238
- .
"기계학습 모형 기반 진해만 용존산소농도 및 빈산소수괴 발생 예측"
한국해안·해양공학회논문집,
vol. 34(3),
p.47-.
2022.
doi:10.9765/KSCOE.2022.34.3.47