DC Field | Value | Language |
---|---|---|
dc.contributor.author | Han, Gyeol | ko |
dc.contributor.author | Kim, Yong-Min | ko |
dc.contributor.author | Kwon, Tae-Hyuk | ko |
dc.date.accessioned | 2019-12-16T05:20:18Z | - |
dc.date.available | 2019-12-16T05:20:18Z | - |
dc.date.created | 2019-11-29 | - |
dc.date.issued | 2019-10-25 | - |
dc.identifier.citation | 32nd KKHTCNN Symposium on Civil Engineering | - |
dc.identifier.uri | http://hdl.handle.net/10203/269725 | - |
dc.language | English | - |
dc.publisher | KAIST | - |
dc.title | Application of deep learning techniques for determination of crack signals in structural damage monitoring | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 32nd KKHTCNN Symposium on Civil Engineering | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | Lecture Wing, KAIST Mun-ji Campus, Daejeon | - |
dc.contributor.localauthor | Kwon, Tae-Hyuk | - |
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