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조경화

Cho, Kyung Hwa
Water-Environmental Informatics Lab.
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수 환경 분야에서의 딥러닝 모델 적용사례

Alternative Title
Deep learning model in water-environment field
Author(s)
표종철박상훈조경화백상수
Issued Date
2020-12
URI
https://scholarworks.unist.ac.kr/handle/201301/52757
Citation
상하수도학회지, v.34, no.6, pp.481 - 493
Abstract
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.
Publisher
대한상하수도학회
ISSN
1225-7672
Keyword (Author)
Convolutional neural networkDeep LearningMulti-dimensional imageWater-environment합성곱 신경망딥러닝다차원 이미지수환경

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