A field application of crack diagnosis and classification technologies based on IPTs and deep-learning using UAV

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dc.contributor.authorLee, Jin-Hwanko
dc.contributor.authorYoon, Sung-Sikko
dc.contributor.authorJung, Hyung-Joko
dc.contributor.authorKim, In-Hoko
dc.date.accessioned2018-12-20T02:06:09Z-
dc.date.available2018-12-20T02:06:09Z-
dc.date.created2018-11-29-
dc.date.issued2018-07-23-
dc.identifier.citationThe World Conference on Structural Control and Monitoring-
dc.identifier.urihttp://hdl.handle.net/10203/247400-
dc.languageEnglish-
dc.publisherIASCM & Harbin Institute of Technology-
dc.titleA field application of crack diagnosis and classification technologies based on IPTs and deep-learning using UAV-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThe World Conference on Structural Control and Monitoring-
dc.identifier.conferencecountryCC-
dc.identifier.conferencelocationShangri-La Hotel Qingdao, Qingdao-
dc.contributor.localauthorJung, Hyung-Jo-
dc.contributor.nonIdAuthorLee, Jin-Hwan-
dc.contributor.nonIdAuthorYoon, Sung-Sik-
dc.contributor.nonIdAuthorKim, In-Ho-
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CE-Conference Papers(학술회의논문)
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