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- Cho, Kyung Hwa
- Water-Environmental Informatics Lab.
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.assignee | 울산과학기술원 | - |
| dc.contributor.author | 조경화 | - |
| dc.contributor.author | 박상훈 | - |
| dc.contributor.author | 백상수 | - |
| dc.date.accessioned | 2025-04-25T19:31:28Z | - |
| dc.date.application | 2021-02-05 | - |
| dc.date.available | 2025-04-25T19:31:28Z | - |
| dc.date.registration | 2025-03-31 | - |
| dc.identifier.patentApplicationNumber | 10-2021-0016802 | - |
| dc.identifier.patentRegistrationNumber | 10-2791103 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/86932 | - |
| dc.title | 딥 러닝을 통한 조류 대응 수처리 공정의 최적화 방법 | - |
| dc.type | Patent | - |
| dc.publisher.country | KO | - |
| dc.type.iprs | 특허 | - |
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