DSpace at KOASAS
College of Engineering(공과대학)School of Mechanical and Aerospace Engineering(기계항공공학부)Dept. of Aerospace Engineering(항공우주공학과)AE-Conference Papers(학술회의논문)

Real-time Damage Detection of Engine Blade using Computer Vision and Machine Learning

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 181
  • Download : 0
Export
DC FieldValueLanguage
dc.contributor.authorKim, Yong-Hoko
dc.contributor.authorLee, Jung-Ryulko
dc.date.accessioned2018-07-24T02:32:56Z-
dc.date.available2018-07-24T02:32:56Z-
dc.date.created2018-06-08-
dc.date.created2018-06-08-
dc.date.issued2017-09-
dc.identifier.citation11th International Workshop on Structural Health Monitoring-
dc.identifier.urihttp://hdl.handle.net/10203/244212-
dc.languageEnglish-
dc.publisherInternational Workshop on Structural Health Monitoring-
dc.titleReal-time Damage Detection of Engine Blade using Computer Vision and Machine Learning-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85032370255-
dc.type.rimsCONF-
dc.citation.publicationname11th International Workshop on Structural Health Monitoring-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationStanford University-
dc.contributor.localauthorLee, Jung-Ryul-
dc.contributor.nonIdAuthorKim, Yong-Ho-
Appears in Collection
AE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

Display Simple Item Record

qr_code

  • mendeley

    citeulike

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


rss_1.0 rss_2.0 atom_1.0