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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Lee, Seung Jun | - |
| dc.contributor.author | Bae, Junyong | - |
| dc.date.accessioned | 2025-04-04T13:48:47Z | - |
| dc.date.available | 2025-04-04T13:48:47Z | - |
| dc.date.issued | 2025-02 | - |
| dc.description.degree | Doctor | - |
| dc.description | Department of Nuclear Engineering | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/86418 | - |
| dc.identifier.uri | http://unist.dcollection.net/common/orgView/200000865313 | - |
| dc.language | ENG | - |
| dc.publisher | Ulsan National Institute of Science and Technology | - |
| dc.rights.embargoReleaseDate | 9999-12-31 | - |
| dc.rights.embargoReleaseTerms | 9999-12-31 | - |
| dc.subject | Nuclear Power Plant | - |
| dc.subject | Safety Assessment | - |
| dc.subject | Deep Learning | - |
| dc.subject | Artificial Intelligence | - |
| dc.subject | Thermal-hydraulic System Code | - |
| dc.title | Deep Learning-based Optimized Simulation and Consequence Estimation with Neural Network Uncertainty for Dynamic Risk Assessment of Nuclear Power Plants | - |
| dc.type | Thesis | - |
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