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Muhammed Amir Elmuhammedcebben Doctoral FIRAT UNIVERSITY
Publication 2 Review 0 CrossRef Cited 2
2 Publication
0 Review
2 CrossRef Cited
0000-0003-1398-3002

Research Fields

Computer Vision Image Processing Deep Learning

Institution

FIRAT UNIVERSITY

Popular 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
CITED 2 FAVORITE 1 TOTAL DOWNLOAD COUNT 565

2

1

565

Depth-Aware Multi-Task Deep Learning Approach for Railway Scene Perception
Authors: Muhammed Amir Elmuhammedcebben , İlhan Aydın , Emre Güçlü , Erhan Akın
Published: 2026 , Turkish Journal of Science and Technology
DOI: 10.55525/tjst.1896758
CITED 0 FAVORITE 1 TOTAL DOWNLOAD COUNT 63

0

1

63

Publications

Depth-Aware Multi-Task Deep Learning Approach for Railway Scene Perception
Authors: Muhammed Amir Elmuhammedcebben , İlhan Aydın , Emre Güçlü , Erhan Akın
Published: 2026 , Turkish Journal of Science and Technology
DOI: 10.55525/tjst.1896758
FAVORITE 1 TOTAL DOWNLOAD COUNT 63

1

63

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 565

1

565

Articles published in
Demiryolu Mühendisliği
Demiryolu Mühendisliği
Turkish Journal of Science and Technology
Turkish Journal of Science and Technology
User doesn't have any peer review duties on DergiPark.

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
CITED 2 FAVORITE 1 TOTAL DOWNLOAD COUNT 565

2

1

565

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.