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- Lim, Sunghoon
- Industrial Intelligence Lab.
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.endPage | 157 | - |
| dc.citation.startPage | 133 | - |
| dc.citation.title | JOURNAL OF MANUFACTURING SYSTEMS | - |
| dc.citation.volume | 76 | - |
| dc.contributor.author | Kim, Gyeongho | - |
| dc.contributor.author | Yang, Sang Min | - |
| dc.contributor.author | Kim, Dong Min | - |
| dc.contributor.author | Choi, Jae Gyeong | - |
| dc.contributor.author | Lim, Sunghoon | - |
| dc.contributor.author | Park, Hyung Wook | - |
| dc.date.accessioned | 2024-08-08T11:35:05Z | - |
| dc.date.available | 2024-08-08T11:35:05Z | - |
| dc.date.created | 2024-08-07 | - |
| dc.date.issued | 2024-10 | - |
| dc.identifier.bibliographicCitation | JOURNAL OF MANUFACTURING SYSTEMS, v.76, pp.133 - 157 | - |
| dc.identifier.doi | 10.1016/j.jmsy.2024.07.010 | - |
| dc.identifier.issn | 0278-6125 | - |
| dc.identifier.scopusid | 2-s2.0-85199874999 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/83419 | - |
| dc.language | 영어 | - |
| dc.publisher | Elsevier BV | - |
| dc.title | Developing a deep learning-based uncertainty-aware tool wear prediction method using smartphone sensors for the turning process of Ti-6Al-4V | - |
| dc.type | Article | - |
| dc.description.isOpenAccess | FALSE | - |
| dc.type.docType | Article | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
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