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DC Field Value Language
dc.contributor.advisor Im, Jungho -
dc.contributor.author Shin, Yeji -
dc.date.accessioned 2024-01-29T15:39:27Z -
dc.date.available 2024-01-29T15:39:27Z -
dc.date.issued 2022-08 -
dc.description.degree Master -
dc.description Department of Urban and Environmental Engineering -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/73852 -
dc.identifier.uri http://unist.dcollection.net/common/orgView/200000642468 -
dc.language eng -
dc.publisher Ulsan National Institute of Science and Technology (UNIST) -
dc.rights.embargoReleaseDate 9999-12-31 -
dc.rights.embargoReleaseTerms 9999-12-31 -
dc.title.alternative 정지궤도 기상위성을 활용한 머신러닝 기반 동아시아 정량적 강수 추정 -
dc.title Machine learning-based quantitative precipitation estimation over the East Asia from geostationary satellite data -
dc.type Thesis -

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