dc.citation.conferencePlace |
JA |
- |
dc.citation.conferencePlace |
Toyama, Japan |
- |
dc.citation.title |
2022 International Conference on Advanced Mechatronic Systems |
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dc.contributor.author |
Kim, Gyeongho |
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dc.contributor.author |
Yang, Sang Min |
- |
dc.contributor.author |
Kim, Sinwon |
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dc.contributor.author |
Kim, Dong Min |
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dc.contributor.author |
Lim, Sunghoon |
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dc.contributor.author |
Park, Hyung Wook |
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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 |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2022-12-17 |
- |