DC Field | Value | Language |
---|---|---|
dc.contributor.author | 신나연 | - |
dc.contributor.author | Yoo-Geun Ham | - |
dc.contributor.author | Jeong-Hwan Kim | - |
dc.contributor.author | 조민수 | - |
dc.contributor.author | 국종성 | - |
dc.date.accessioned | 2023-07-11T04:21:08Z | - |
dc.date.available | 2023-07-11T04:21:08Z | - |
dc.date.created | 2023-01-06 | - |
dc.date.issued | 2022-10 | - |
dc.identifier.issn | 2769-7525 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/117937 | - |
dc.language | English | - |
dc.publisher | American Meteorological Society | - |
dc.relation.isPartOf | Artificial Intelligence for the Earth Systems | - |
dc.title | Applications of deep learning to understanding ENSO dynamics | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | Artificial Intelligence for the Earth Systems | - |
dc.citation.title | Artificial Intelligence for the Earth Systems | - |
dc.contributor.affiliatedAuthor | 신나연 | - |
dc.contributor.affiliatedAuthor | 조민수 | - |
dc.contributor.affiliatedAuthor | 국종성 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | other | - |
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