1. Research Repository
  2. Faculty of Science
  3. Computer Science
Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/9043
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMayuravaani, M.-
dc.date.accessioned2023-02-09T04:31:56Z-
dc.date.available2023-02-09T04:31:56Z-
dc.date.issued2022-
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/9043-
dc.language.isoenen_US
dc.publisherSabaragamuwa University of Sri Lankaen_US
dc.titleSemi-Supervised Deep Learning Approaches for Classifying Surface Defectsen_US
dc.typeArticleen_US
Appears in Collections:Computer Science

Files in This Item:
File Description SizeFormat 
Semi-Supervised Deep Learning Approaches for Classifying Surface Defects,.pdf3.69 MBAdobe PDFView/Open
Show simple item record


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