Researchers Ekrem Eşref Kılınç
avatar
Ekrem Eşref Kılınç Instructor MEHMET AKİF ERSOY ÜNİVERSİTESİ, AĞLASUN MESLEK YÜKSEKOKULU
Publication 2 Review 1 CrossRef Cited 3 TR Dizin Cited 2
2 Publication
1 Review
3 CrossRef Cited
2 TR Dizin Cited
0000-0003-1806-4937

Research Fields

Computer Vision Image Processing Artificial Intelligence

Institution

MEHMET AKİF ERSOY ÜNİVERSİTESİ, AĞLASUN MESLEK YÜKSEKOKULU

Popular Publications

Object Detection from Underwater Images
Authors: Ekrem Eşref Kılınç , Sedat Metlek
Published: 2021 , European Journal of Science and Technology
DOI: 10.31590/ejosat.873540
CITED 2 FAVORITE 1 TOTAL DOWNLOAD COUNT 2801

2

1

2801

Publications

3BResNet: A Novel Residual Block-Based ResNet Model Approach for COVID19 Detection
Authors: Ekrem Eşref Kılınç , Fahrettin Aka , Sedat Metlek
Published: 2023 , Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
DOI: 10.17798/bitlisfen.1346730
FAVORITE 0 TOTAL DOWNLOAD COUNT 157

0

157

Object Detection from Underwater Images
Authors: Ekrem Eşref Kılınç , Sedat Metlek
Published: 2021 , European Journal of Science and Technology
DOI: 10.31590/ejosat.873540
FAVORITE 1 TOTAL DOWNLOAD COUNT 2801

1

2801

Articles published in
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
European Journal of Science and Technology
European Journal of Science and Technology

Reviews

Erzincan University Journal of Science and Technology
Erzincan University Journal of Science and Technology

Publications

3BResNet: A Novel Residual Block-Based ResNet Model Approach for COVID19 Detection
Authors: Ekrem Eşref Kılınç , Fahrettin Aka , Sedat Metlek
Published: 2023 , Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
DOI: 10.17798/bitlisfen.1346730
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 157

1

0

157

Object Detection from Underwater Images
Authors: Ekrem Eşref Kılınç , Sedat Metlek
Published: 2021 , European Journal of Science and Technology
DOI: 10.31590/ejosat.873540
CITED 2 FAVORITE 1 TOTAL DOWNLOAD COUNT 2801

2

1

2801

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. : Click to get information about the DergiPark User Badge.
Interactive Guide Tool
If you want to see the panel introduction, you can click Start Tour.