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- Lim, Sunghoon
- Industrial Intelligence Lab.
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | US | - |
| dc.citation.title | 2024 INFORMS Annual Meeting | - |
| dc.contributor.author | Kim, Gyeongho | - |
| dc.contributor.author | Kang, Yun Seok | - |
| dc.contributor.author | Yang, Sang Min | - |
| dc.contributor.author | Choi, Jae Gyeong | - |
| dc.contributor.author | Hwang, Gahyun | - |
| dc.contributor.author | Park, Hyung Wook | - |
| dc.contributor.author | Lim, Sunghoon | - |
| dc.date.accessioned | 2025-01-03T15:05:08Z | - |
| dc.date.available | 2025-01-03T15:05:08Z | - |
| dc.date.created | 2025-01-03 | - |
| dc.date.issued | 2024-10-20 | - |
| dc.identifier.bibliographicCitation | 2024 INFORMS Annual Meeting | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/85556 | - |
| dc.publisher | Institute for Operations Research and the Management Sciences | - |
| dc.title | Continual learning-based remaining useful life prediction of machining tools under varying operating conditions | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2024-10-20 | - |
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