A Deep Learning-Based Hybrid Approach to Detect Fastener Defects in Real-Time

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dc.contributor.authorAydin, Ilhan
dc.contributor.authorSevi, Mehmet
dc.contributor.authorAkin, Erhan
dc.contributor.authorGuclu, Emre
dc.contributor.authorKarakose, Mehmet
dc.contributor.authorAldarwich, Hssen
dc.date.accessioned2026-08-12T17:21:03Z
dc.date.issued2023
dc.departmentFırat Üniversitesi
dc.description.abstract[Abstract Not Available]
dc.description.sponsorshipScientific Research Projects Coordination Unit of Firat University [ADEP.22.02]
dc.description.sponsorshipThis work was supported by the Scientific Research Projects Coordination Unit of Firat University. Project number ADEP.22.02.
dc.identifier.doi10.17559/TV-20221020152721
dc.identifier.endpage1468
dc.identifier.issn1330-3651
dc.identifier.issn1848-6339
dc.identifier.issue5
dc.identifier.orcid0000-0001-6952-8880
dc.identifier.orcid0000-0002-3276-3788
dc.identifier.scopus2-s2.0-85171622944
dc.identifier.scopusqualityQ3
dc.identifier.startpage1461
dc.identifier.urihttps://doi.org/10.17559/TV-20221020152721
dc.identifier.urihttps://hdl.handle.net/11508/53795
dc.identifier.volume30
dc.identifier.wosWOS:001095802600005
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherUniv Osijek, Tech Fac
dc.relation.ispartofTehnicki Vjesnik-Technical Gazette
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260511
dc.subjectdefect detection
dc.subjectdeep learning
dc.subjectfastener
dc.subjectobject detection
dc.subjectrailway system
dc.titleA Deep Learning-Based Hybrid Approach to Detect Fastener Defects in Real-Time
dc.typeArticle

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