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Implement of machine learning U-net model for automatic ELM-burst detection in the KSTAR tokamak
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이정표 | - |
| dc.date.accessioned | 2021-11-30T05:42:37Z | - |
| dc.date.available | 2021-11-30T05:42:37Z | - |
| dc.date.issued | 2021-10-21 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/133498 | - |
| dc.title | Implement of machine learning U-net model for automatic ELM-burst detection in the KSTAR tokamak | - |
| dc.type | Conference | - |
| dc.citation.conferenceName | 2021 한국 물리학회 | - |
| dc.citation.conferencePlace | 온라인 | - |
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Collections - 서울 공과대학 > 서울 원자력공학과 > 2. Conference Papers
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Related Researcher
- Lee, Jungpyo
- COLLEGE OF ENGINEERING (DEPARTMENT OF NUCLEAR ENGINEERING)