dc.contributor.advisor |
Lee, Deokjung |
- |
dc.contributor.author |
Kim, Hanjoo |
- |
dc.date.accessioned |
2024-04-11T15:19:46Z |
- |
dc.date.available |
2024-04-11T15:19:46Z |
- |
dc.date.issued |
2024-02 |
- |
dc.description.degree |
Doctor |
- |
dc.description |
Department of Nuclear Engineering |
- |
dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/82129 |
- |
dc.identifier.uri |
http://unist.dcollection.net/common/orgView/200000744507 |
- |
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 |
CRUD-induced Power Shift (CIPS) |
- |
dc.subject |
Axial Offset Anomaly (AOA) |
- |
dc.subject |
Reactor Core Monitoring |
- |
dc.subject |
Artificial Intelligence (AI) |
- |
dc.subject |
Explainable Artificial Intelligence (XAI) |
- |
dc.title |
Development of an AI-driven system for predicting and diagnosing axial offset anomaly during nuclear reactor core operation |
- |
dc.type |
Thesis |
- |