File Download
There are no files associated with this item.
SFX Link
- Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
- Lee, Seung Jun
- Nuclear Safety Assessment and Plant HMI Evolution Lab.
Views & Downloads
Detailed Information
Cited time in 
Cited time in 
Cited time in
Metadata Downloads
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | TH | - |
| dc.citation.title | ASRAM2025 | - |
| dc.contributor.author | Seoung, Yoo Joon | - |
| dc.contributor.author | Bae, Junyong | - |
| dc.contributor.author | Lee, Seung Jun | - |
| dc.date.accessioned | 2025-12-16T14:32:48Z | - |
| dc.date.available | 2025-12-16T14:32:48Z | - |
| dc.date.created | 2025-12-15 | - |
| dc.date.issued | 2025-08-27 | - |
| dc.identifier.bibliographicCitation | ASRAM2025 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/89075 | - |
| dc.language | 영어 | - |
| dc.publisher | ASRAM | - |
| dc.title | Applying deep learning algorithms for autonomous emergency operation in nuclear power plants | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2025-08-27 | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.