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- Cho, Kyung Hwa
- Water-Environmental Informatics Lab.
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | JA | - |
| dc.citation.title | World Water Congress & Exhibition 2018 | - |
| dc.contributor.author | 조경화 | - |
| dc.contributor.author | 박상훈 | - |
| dc.date.accessioned | 2024-02-01T01:36:11Z | - |
| dc.date.available | 2024-02-01T01:36:11Z | - |
| dc.date.created | 2019-01-11 | - |
| dc.date.issued | 2018-09-17 | - |
| dc.identifier.bibliographicCitation | World Water Congress & Exhibition 2018 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/80908 | - |
| dc.language | 한국어 | - |
| dc.publisher | IWA | - |
| dc.title | Deep learning application for predicting membrane fouling using real-time fouling images | - |
| dc.type | Conference Paper | - |
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