Mehmet Sevi profile image
Mehmet Sevi Asst. Prof. Dr. BANDIRMA ONYEDİ EYLÜL ÜNİVERSİTESİ
Publication 7 Review 6 CrossRef Cited 17
7 Publication
6 Review
17 CrossRef Cited

Research Fields

Information and Computing Sciences Image Processing Deep Learning

Institution

BANDIRMA ONYEDİ EYLÜL ÜNİVERSİTESİ

Popular Publications

Cyber Security Issues and Awareness Training at Universities
Authors: İhsan Tuğal , Cengiz Almaz, Mehmet Sevi
Published: 2021 , Journal of Information Technologies
DOI: 10.17671/gazibtd.754458
CITED 6 FAVORITE 1 TOTAL DOWNLOAD COUNT 3987

6

1

3987

Developing Deep Learning Methods for Object Detection and Using Zed Camera for Distance Measurement in Railway Environment
Authors: Muhammed Amir Elmuhammedcebben , İlhan Aydın , Mehmet Sevi
Published: 2025 , Demiryolu Mühendisliği
DOI: 10.47072/demiryolu.1645019
CITED 0 FAVORITE 1 TOTAL DOWNLOAD COUNT 237

0

1

237

Publications

Developing Deep Learning Methods for Object Detection and Using Zed Camera for Distance Measurement in Railway Environment
Authors: Muhammed Amir Elmuhammedcebben , İlhan Aydın , Mehmet Sevi
Published: 2025 , Demiryolu Mühendisliği
DOI: 10.47072/demiryolu.1645019
FAVORITE 1 TOTAL DOWNLOAD COUNT 237

1

237

A Stable Two-Stage Approach for Detection and Classification of Rail Surface Defects Using Fuzzy Modeling and CNN-BILSTM Network
Authors: İlhan Aydın , Mehmet Sevi , Erhan Akın
Published: 2025 , Demiryolu Mühendisliği
DOI: 10.47072/demiryolu.1719591
FAVORITE 0 TOTAL DOWNLOAD COUNT 208

0

208

Comparative Analysis of Deep Learning-Based Methods for Making Sense of Railway and Its Environment
Authors: İlhan Aydın , Taha Kubilay Şener , Mehmet Sevi
Published: 2024 , Demiryolu Mühendisliği
DOI: 10.47072/demiryolu.1336812
FAVORITE 0 TOTAL DOWNLOAD COUNT 860

0

860

Detection of Foreign Objects Around the Railway Line with YOLOv8
Authors: Mehmet Sevi , İlhan Aydın
Published: 2023 , Computer Science
DOI: 10.53070/bbd.1346317
FAVORITE 0 TOTAL DOWNLOAD COUNT 1170

0

1170

Detection of Rail Surface Defects Based on Ensemble Learning of YOLOv5
Authors: Mehmet Sevi , İlhan Aydın , Erhan Akın
Published: 2023 , Demiryolu Mühendisliği
DOI: 10.47072/demiryolu.1205483
FAVORITE 0 TOTAL DOWNLOAD COUNT 1052

0

1052

Classification of Railway Fasteners by Deep Learning Methods
Authors: Mehmet Sevi , İlhan Aydın , Mehmet Karaköse
Published: 2022 , Avrupa Bilim ve Teknoloji Dergisi
DOI: 10.31590/ejosat.1029905
FAVORITE 0 TOTAL DOWNLOAD COUNT 1110

0

1110

Cyber Security Issues and Awareness Training at Universities
Authors: İhsan Tuğal , Cengiz Almaz, Mehmet Sevi
Published: 2021 , Journal of Information Technologies
DOI: 10.17671/gazibtd.754458
FAVORITE 1 TOTAL DOWNLOAD COUNT 3987

1

3987

Articles published in
Avrupa Bilim ve Teknoloji Dergisi
Avrupa Bilim ve Teknoloji Dergisi
Computer Science
Computer Science
Demiryolu Mühendisliği
Demiryolu Mühendisliği
Journal of Information Technologies
Journal of Information Technologies

Reviews

Acta Infologica
Acta Infologica
Demiryolu Mühendisliği
Demiryolu Mühendisliği
NATURENGS
NATURENGS

Publications

Detection of Foreign Objects Around the Railway Line with YOLOv8
Authors: Mehmet Sevi , İlhan Aydın
Published: 2023 , Computer Science
DOI: 10.53070/bbd.1346317
CITED 6 FAVORITE 0 TOTAL DOWNLOAD COUNT 1170

6

0

1170

Detection of Rail Surface Defects Based on Ensemble Learning of YOLOv5
Authors: Mehmet Sevi , İlhan Aydın , Erhan Akın
Published: 2023 , Demiryolu Mühendisliği
DOI: 10.47072/demiryolu.1205483
CITED 4 FAVORITE 0 TOTAL DOWNLOAD COUNT 1052

4

0

1052

Classification of Railway Fasteners by Deep Learning Methods
Authors: Mehmet Sevi , İlhan Aydın , Mehmet Karaköse
Published: 2022 , Avrupa Bilim ve Teknoloji Dergisi
DOI: 10.31590/ejosat.1029905
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 1110

1

0

1110

Cyber Security Issues and Awareness Training at Universities
Authors: İhsan Tuğal , Cengiz Almaz, Mehmet Sevi
Published: 2021 , Journal of Information Technologies
DOI: 10.17671/gazibtd.754458
CITED 6 FAVORITE 1 TOTAL DOWNLOAD COUNT 3987

6

1

3987

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.