DEVELOPMENT OF REAL-TIME TRAFFIC SIGN RECOGNITION WITH CONVOLUTIONAL NEURAL NETWORK USING DEEP LEARNING TECHNIQUES

Basit Öğe Kaydı
dc.contributor.authorAkgül Baturalp
dc.contributor.authorALİSİNANOĞLU FATİH
dc.contributor.authorBAYRAM KADİR SERCAN
dc.contributor.authorÖZYAZICI MUSTAFA SADETTİN
dc.contributor.authorAlisinanoğlu, Fatih
dc.contributor.authorBayram, Kadir Sercan
dc.contributor.authorÖzyazıcı, Mustafa Sadettin
dc.date.accessioned2026-06-12T11:49:51Z
dc.date.issued2022
dc.descriptionESCI | YÖK-Özgeçmiş
dc.identifier.doi10.5281/zenodo.7220943
dc.identifier.issn2602-4136
dc.identifier.urihttps://hdl.handle.net/20.500.11782/6133
dc.relation.ispartofInternational Journal on Mathematics, Engineering and Natural Sciences
dc.titleDEVELOPMENT OF REAL-TIME TRAFFIC SIGN RECOGNITION WITH CONVOLUTIONAL NEURAL NETWORK USING DEEP LEARNING TECHNIQUES
dspace.entity.typePublication
relation.isAuthorOfPublication414def36-07a8-4def-87aa-846c537ba66f
relation.isAuthorOfPublication42402b19-86ab-4ecf-9951-fb6645bb9660
relation.isAuthorOfPublicationef0cf880-0d57-4b85-abdd-24614c4d543f
relation.isAuthorOfPublication.latestForDiscovery414def36-07a8-4def-87aa-846c537ba66f

Dosyalar

Koleksiyon

Yazılım Mühendisliği Bölümü Koleksiyonu