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- Lim, Sunghoon
- Industrial Intelligence Lab.
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | JA | - |
| dc.citation.conferencePlace | Toyama, Japan | - |
| dc.citation.title | 2022 International Conference on Advanced Mechatronic Systems | - |
| dc.contributor.author | Kim, Gyeongho | - |
| dc.contributor.author | Yang, Sang Min | - |
| dc.contributor.author | Kim, Sinwon | - |
| dc.contributor.author | Kim, Dong Min | - |
| dc.contributor.author | Lim, Sunghoon | - |
| dc.contributor.author | Park, Hyung Wook | - |
| dc.date.accessioned | 2024-01-31T19:35:50Z | - |
| dc.date.available | 2024-01-31T19:35:50Z | - |
| dc.date.created | 2022-12-23 | - |
| dc.date.issued | 2022-12-18 | - |
| dc.identifier.bibliographicCitation | 2022 International Conference on Advanced Mechatronic Systems | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/74912 | - |
| dc.publisher | Toyama Prefectural University (Toyama Station Campus) | - |
| dc.title | Tool Wear Prediction in the End Milling Process of Ti-6Al-4V using Bayesian Learning | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2022-12-17 | - |
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