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  1. National Taiwan Ocean University Research Hub
  2. 生命科學院
  3. 生命科學暨生物科技學系
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/24334
DC FieldValueLanguage
dc.contributor.authorZhao, Yu-Xiangen_US
dc.contributor.authorHsieh, Yi-Zengen_US
dc.contributor.authorLin, Shih-Syunen_US
dc.date.accessioned2023-12-27T07:52:38Z-
dc.date.available2023-12-27T07:52:38Z-
dc.date.issued2021-
dc.identifier.issn1943-3522-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/24334-
dc.language.isoen_USen_US
dc.relation.ispartofJournal of Imaging Science and Technologyen_US
dc.titleThe Development of an Identification Photo Booth System based on a Deep Learning Automatic Image Capturing Methoden_US
dc.typejournal articleen_US
dc.identifier.doi10.2352/J.ImagingSci.Technol.2021.65.2.020403-
dc.identifier.isiWOS:000658862500004-
dc.relation.journalvolume65en_US
dc.relation.journalissue2en_US
item.languageiso639-1en_US-
item.grantfulltextnone-
item.openairetypejournal article-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextno fulltext-
item.cerifentitytypePublications-
crisitem.author.deptCollege of Electrical Engineering and Computer Science-
crisitem.author.deptDepartment of Computer Science and Engineering-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.orcid0000-0002-8360-5819-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
Appears in Collections:生命科學暨生物科技學系
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