Arzu Sevinç profile image
Arzu Sevinç Res. Assist. Adıyaman Üniversitesi
Publication 2 Review 0 CrossRef Cited 3 TR Dizin Cited 2
2 Publication
0 Review
3 CrossRef Cited
2 TR Dizin Cited
0000-0002-1614-117X

Research Fields

Deep Learning Software Engineering (Other)

Institution

Adıyaman Üniversitesi

Popular Publications

Detection of Concrete Surface Cracks with Deep Learning Architectures
Authors: Arzu Sevinç , Fatih Özyurt
Published: 2022 , International Journal of Innovative Engineering Applications
DOI: 10.46460/ijiea.1098046
CITED 2 FAVORITE 1 TOTAL DOWNLOAD COUNT 730

2

1

730

Publications

Detection of Concrete Surface Cracks with Deep Learning Architectures
Authors: Arzu Sevinç , Fatih Özyurt
Published: 2022 , International Journal of Innovative Engineering Applications
DOI: 10.46460/ijiea.1098046
FAVORITE 1 TOTAL DOWNLOAD COUNT 730

1

730

Classification of recyclable waste using deep learning architectures
Authors: Arzu Sevinç , Fatih Özyurt
Published: 2022 , Firat University Journal of Experimental and Computational Engineering
DOI: 10.5505/fujece.2022.83997
FAVORITE 0 TOTAL DOWNLOAD COUNT 1451

0

1451

Articles published in
Firat University Journal of Experimental and Computational Engineering
Firat University Journal of Experimental and Computational Engineering
International Journal of Innovative Engineering Applications
International Journal of Innovative Engineering Applications
User doesn't have any peer review duties on DergiPark.

Publications

Detection of Concrete Surface Cracks with Deep Learning Architectures
Authors: Arzu Sevinç , Fatih Özyurt
Published: 2022 , International Journal of Innovative Engineering Applications
DOI: 10.46460/ijiea.1098046
CITED 2 FAVORITE 1 TOTAL DOWNLOAD COUNT 730

2

1

730

Classification of recyclable waste using deep learning architectures
Authors: Arzu Sevinç , Fatih Özyurt
Published: 2022 , Firat University Journal of Experimental and Computational Engineering
DOI: 10.5505/fujece.2022.83997
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 1451

1

0

1451

Popular Publications: It is determined automatically by the researchers doing research in DergiPark according to the statistics of being added to the favorites. CrossRef Cited: The citations shown in DergiPark are drawn from CrossRef. For this, the cited and cited articles must be registered in CrossRef (DOI number). ^: Citation numbers are reflected in the system by DergiPark at certain periods.