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A deep learning model for driving the interaction of data-variability features in dynamic-stress time series’ information
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 정대원 | - |
| dc.date.accessioned | 2025-01-18T00:31:06Z | - |
| dc.date.available | 2025-01-18T00:31:06Z | - |
| dc.date.issued | 2024-06-24 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/57332 | - |
| dc.title | A deep learning model for driving the interaction of data-variability features in dynamic-stress time series’ information | - |
| dc.type | Conference | - |
| dc.citation.startPage | 4 | - |
| dc.citation.endPage | 5 | - |
| dc.citation.conferenceName | CIMTEC 2024 | - |
| dc.citation.conferencePlace | 이탈리아 | - |
| dc.citation.conferencePlace | Montecatini Terme | - |
| dc.citation.conferenceDate | 2024-06-20 ~ 2024-06-24 | - |
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Related Researcher
- Chung, Dae Won
- Graduate School (Department of Advanced Battery Convergence Engineering)