Gözde Sena Karabay profile image
Gözde Sena Karabay Doctoral Fırat Üniversitesi
Publication 2 Review 1 CrossRef Cited 4 TR Dizin Cited 1
2 Publication
1 Review
4 CrossRef Cited
1 TR Dizin Cited
0000-0001-6640-9245

Research Fields

Deep Learning Artificial Intelligence

Institution

Fırat Üniversitesi

Popular Publications

Detection of Alzheimer’s Disease with Deep Learning Method
Authors: Gözde Sena Karabay , Mehmet Çavaş
Published: 2022 , Fırat Üniversitesi Mühendislik Bilimleri Dergisi
DOI: 10.35234/fumbd.1137246
CITED 4 FAVORITE 3 TOTAL DOWNLOAD COUNT 3018

4

3

3018

Performance comparison of AlexNet and MobileNetV2 architectures in flower classification
Authors: Gözde Sena Karabay , Mehmet Çavaş , Engin Avcı
Published: 2025 , Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi
DOI: 10.17341/gazimmfd.1463663
CITED 0 FAVORITE 1 TOTAL DOWNLOAD COUNT 592

0

1

592

Publications

Performance comparison of AlexNet and MobileNetV2 architectures in flower classification
Authors: Gözde Sena Karabay , Mehmet Çavaş , Engin Avcı
Published: 2025 , Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi
DOI: 10.17341/gazimmfd.1463663
FAVORITE 1 TOTAL DOWNLOAD COUNT 592

1

592

Detection of Alzheimer’s Disease with Deep Learning Method
Authors: Gözde Sena Karabay , Mehmet Çavaş
Published: 2022 , Fırat Üniversitesi Mühendislik Bilimleri Dergisi
DOI: 10.35234/fumbd.1137246
FAVORITE 3 TOTAL DOWNLOAD COUNT 3018

3

3018

Articles published in
Fırat Üniversitesi Mühendislik Bilimleri Dergisi
Fırat Üniversitesi Mühendislik Bilimleri Dergisi
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

Reviews

Journal of Polytechnic
Journal of Polytechnic

Publications

Detection of Alzheimer’s Disease with Deep Learning Method
Authors: Gözde Sena Karabay , Mehmet Çavaş
Published: 2022 , Fırat Üniversitesi Mühendislik Bilimleri Dergisi
DOI: 10.35234/fumbd.1137246
CITED 4 FAVORITE 3 TOTAL DOWNLOAD COUNT 3018

4

3

3018

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.
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