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dc.contributor.authorLEE, HYO SEUNG-
dc.contributor.authorLEE, SANG JOON-
dc.date.accessioned2023-03-07T04:43:35Z-
dc.date.available2023-03-07T04:43:35Z-
dc.date.created2023-03-06-
dc.date.issued2022-06-24-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/116917-
dc.languageKorean-
dc.publisher한국유체공학학술대회-
dc.relation.isPartOf제 12회 한국유체공학학술대회-
dc.relation.isPartOf제 12회 한국유체공학학술대회 초록집-
dc.titleOptimized deep learning-based ultrasound speckle image velocimetry for super-resolution PIV measurement-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation제 12회 한국유체공학학술대회, pp.105-
dc.citation.conferenceDate2022-06-22-
dc.citation.conferencePlaceKO-
dc.citation.conferencePlace창원컨벤션센터-
dc.citation.startPage105-
dc.citation.title제 12회 한국유체공학학술대회-
dc.contributor.affiliatedAuthorLEE, HYO SEUNG-
dc.contributor.affiliatedAuthorLEE, SANG JOON-
dc.description.journalClass2-
dc.description.journalClass2-

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이상준LEE, SANG JOON
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