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Lee, Myong-In
UNIST Climate Environment Modeling Lab.
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DC Field Value Language
dc.citation.conferencePlace KO -
dc.citation.conferencePlace Jeju -
dc.citation.endPage 673 -
dc.citation.startPage 672 -
dc.citation.title 2015 한국기상학회 가을 학술대회 -
dc.contributor.author Kim, Min Sang -
dc.contributor.author Park, Myung-Sook -
dc.contributor.author Lee, Myong-In -
dc.contributor.author Im, Jungho -
dc.date.accessioned 2023-12-19T21:41:42Z -
dc.date.available 2023-12-19T21:41:42Z -
dc.date.created 2016-01-07 -
dc.date.issued 2015-10-13 -
dc.identifier.bibliographicCitation 2015 한국기상학회 가을 학술대회, pp.672 - 673 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/41872 -
dc.identifier.url http://www.dbpia.co.kr/Article/NODE06546277 -
dc.language 영어 -
dc.publisher 한국기상학회 -
dc.title Comparison of Three Machine Learning Techniques for Objective Prediction of Tropical Cyclone Genesis from WindSat Measurement -
dc.type Conference Paper -
dc.date.conferenceDate 2015-10-12 -

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