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- Jung, Im Doo
- Intelligent Manufacturing and Materials Lab.
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | KO | - |
| dc.citation.conferencePlace | 창원 | - |
| dc.citation.title | 한국정밀공학회 2019년도 추계학술대회 | - |
| dc.contributor.author | Jung, Im Doo | - |
| dc.contributor.author | Sung. H. K. | - |
| dc.contributor.author | Park, S. J. | - |
| dc.contributor.author | Yu , J. H. | - |
| dc.date.accessioned | 2024-01-31T23:36:30Z | - |
| dc.date.available | 2024-01-31T23:36:30Z | - |
| dc.date.created | 2020-10-07 | - |
| dc.date.issued | 2019-10-30 | - |
| dc.identifier.bibliographicCitation | 한국정밀공학회 2019년도 추계학술대회 | - |
| dc.identifier.issn | 2005-8446 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/78966 | - |
| dc.publisher | 한국정밀공학회 | - |
| dc.title.alternative | 머신러닝을 이용한 API 파이프라인강의 미세조직 기반 기계적 물성 예측 | - |
| dc.title | Machine Learning Approach for the Prediction of Mechanical Properties with Microstructural Parameters in API Pipeline Steels | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2019-10-30 | - |
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