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표종철,박상훈,조경화,백상수,Pyo, Jongcheol,Park, Sanghun,Cho, Kyung-Hwa,Baek, Sang-Soo 대한상하수도학회 2020 상하수도학회지 Vol.34 No.6
Deep learning models, which imitate the function of human brain, have drawn attention from many engineering fields (mechanical, agricultural, and computer engineering etc). The major advantages of deep learning in engineering fields can be summarized by objects detection, classification, and time-series prediction. As well, it has been applied into environmental science and engineering fields. Here, we compiled our previous attempts to apply deep learning models in water-environment field and presented the future opportunities.