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DC Field Value Language
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 -

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