Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

딥러닝을 이용한 지폐 진위 판별

Full metadata record
DC Field Value Language
dc.contributor.authorHae-Yeoun Lee-
dc.date.available2021-02-26T05:42:59Z-
dc.date.created2021-02-19-
dc.date.issued2020-10-23-
dc.identifier.urihttps://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/18796-
dc.publisher한국정보기술학회-
dc.title딥러닝을 이용한 지폐 진위 판별-
dc.title.alternativeDeep Learning-Based Banknote Authenticity Identificatio-
dc.typeConference-
dc.contributor.affiliatedAuthorHae-Yeoun Lee-
dc.identifier.bibliographicCitation2020 한국정보기술학회 종합학술대회, v.1, no.1, pp.625-627-
dc.relation.isPartOf2020 한국정보기술학회 종합학술대회-
dc.relation.isPartOfProceedings of KIIT Conference-
dc.citation.title2020 한국정보기술학회 종합학술대회-
dc.citation.volume1-
dc.citation.number1-
dc.citation.startPage625-627-
dc.citation.endPage625-627-
dc.citation.conferencePlace대한민국-
dc.citation.conferencePlace청주-
dc.type.rimsCONF-
dc.description.journalClass2-
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 2. Conference Papers

qrcode

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

Altmetrics

Total Views & Downloads

BROWSE