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dc.contributor.authorLEE, JONGMOK-
dc.contributor.authorCHOI, CHANGYUN-
dc.contributor.author박준범-
dc.contributor.author김성민-
dc.contributor.author손석만-
dc.contributor.authorLEE, SEUNGCHUL-
dc.date.accessioned2022-02-10T01:20:46Z-
dc.date.available2022-02-10T01:20:46Z-
dc.date.created2022-02-09-
dc.date.issued2021-11-03-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/109279-
dc.publisher대한기계학회-
dc.relation.isPartOf대한기계학회 2021년도 학술대회-
dc.relation.isPartOf대한기계학회 2021년도 학술대회-
dc.titleDeep Learning-based Human Action Recognition in Real-Time to Prevent Industrial Workplace Accident-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation대한기계학회 2021년도 학술대회-
dc.citation.conferenceDate2021-11-03-
dc.citation.conferencePlaceKO-
dc.citation.title대한기계학회 2021년도 학술대회-
dc.contributor.affiliatedAuthorLEE, JONGMOK-
dc.contributor.affiliatedAuthorCHOI, CHANGYUN-
dc.contributor.affiliatedAuthorLEE, SEUNGCHUL-
dc.description.journalClass2-
dc.description.journalClass2-

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이승철LEE, SEUNGCHUL
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