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- Kim, Namhun
- UNIST Computer-Integrated Manufacturing Lab.
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | KO | - |
| dc.citation.conferencePlace | 제주 | - |
| dc.citation.title | 대한기계학회 2022년 학술대회 | - |
| dc.contributor.author | 오영훈 | - |
| dc.contributor.author | 김태환 | - |
| dc.contributor.author | 박현우 | - |
| dc.contributor.author | 정해권 | - |
| dc.contributor.author | 김정식 | - |
| dc.contributor.author | 방적호 | - |
| dc.contributor.author | 김남훈 | - |
| dc.date.accessioned | 2024-01-31T19:37:30Z | - |
| dc.date.available | 2024-01-31T19:37:30Z | - |
| dc.date.created | 2023-01-06 | - |
| dc.date.issued | 2022-11-10 | - |
| dc.identifier.bibliographicCitation | 대한기계학회 2022년 학술대회 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/75130 | - |
| dc.language | 한국어 | - |
| dc.publisher | 대한기계학회 | - |
| dc.title.alternative | Quality control in metal additive manufacturing using deep learning approaches | - |
| dc.title | 결함 감지를 위한 LPBF 적층 이미지 해상도 향상 모델 | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2022-11-09 | - |
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