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Ekrem Eşref Kılınç Instructor MEHMET AKİF ERSOY ÜNİVERSİTESİ, AĞLASUN MESLEK YÜKSEKOKULU
Publication 2 Review 2 CrossRef Cited 4 TR Dizin Cited 3
2 Publication
2 Review
4 CrossRef Cited
3 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 , Avrupa Bilim ve Teknoloji Dergisi
DOI: 10.31590/ejosat.873540
CITED 2 FAVORITE 1 TOTAL DOWNLOAD COUNT 3720

2

1

3720

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 381

0

381

Object Detection from Underwater Images
Authors: Ekrem Eşref Kılınç , Sedat Metlek
Published: 2021 , Avrupa Bilim ve Teknoloji Dergisi
DOI: 10.31590/ejosat.873540
FAVORITE 1 TOTAL DOWNLOAD COUNT 3720

1

3720

Articles published in
Avrupa Bilim ve Teknoloji Dergisi
Avrupa Bilim ve Teknoloji Dergisi
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

Reviews

Erzincan University Journal of Science and Technology
Erzincan University Journal of Science and Technology
Journal of Artificial Intelligence and Data Science
Journal of Artificial Intelligence and Data Science

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 2 FAVORITE 0 TOTAL DOWNLOAD COUNT 381

2

0

381

Object Detection from Underwater Images
Authors: Ekrem Eşref Kılınç , Sedat Metlek
Published: 2021 , Avrupa Bilim ve Teknoloji Dergisi
DOI: 10.31590/ejosat.873540
CITED 2 FAVORITE 1 TOTAL DOWNLOAD COUNT 3720

2

1

3720

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.
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