Researchers Muhammed Taha Zeren
avatar
Muhammed Taha Zeren Doctoral SAKARYA UNIVERSITY
Publication 2 Review 3 CrossRef Cited 7 TR Dizin Cited 2
2 Publication
3 Review
7 CrossRef Cited
2 TR Dizin Cited
0000-0001-5615-0751

Research Fields

Artificial Intelligence

Institution

SAKARYA UNIVERSITY

Publications

Detection of Credit Card Fraud in E-Commerce Using Data Mining
Authors: Yasin Kırelli , Seher Arslankaya , Muhammed Taha Zeren
Published: 2020 , European Journal of Science and Technology
DOI: 10.31590/ejosat.747399
FAVORITE 0 TOTAL DOWNLOAD COUNT 1501

0

1501

Comparison of SSD and Faster R-CNN Algorithms to Detect the Airports with Data Set Which Obtained From Unmanned Aerial Vehicles and Satellite Images
Authors: Muhammed Taha Zeren , Sabahattin Kerem Aytulun , Yasin Kırelli
Published: 2020 , European Journal of Science and Technology
DOI: 10.31590/ejosat.742789
FAVORITE 0 TOTAL DOWNLOAD COUNT 5271

0

5271

Articles published in
European Journal of Science and Technology
European Journal of Science and Technology

Reviews

Gümüşhane University Journal of Science and Technology
Gümüşhane University Journal of Science and Technology
Journal of Basic and Clinical Health Sciences
Journal of Basic and Clinical Health Sciences
Journal of the Faculty of Engineering and Architecture of Gazi University
Journal of the Faculty of Engineering and Architecture of Gazi University

Publications

Detection of Credit Card Fraud in E-Commerce Using Data Mining
Authors: Yasin Kırelli , Seher Arslankaya , Muhammed Taha Zeren
Published: 2020 , European Journal of Science and Technology
DOI: 10.31590/ejosat.747399
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 1501

1

0

1501

Comparison of SSD and Faster R-CNN Algorithms to Detect the Airports with Data Set Which Obtained From Unmanned Aerial Vehicles and Satellite Images
Authors: Muhammed Taha Zeren , Sabahattin Kerem Aytulun , Yasin Kırelli
Published: 2020 , European Journal of Science and Technology
DOI: 10.31590/ejosat.742789
CITED 6 FAVORITE 0 TOTAL DOWNLOAD COUNT 5271

6

0

5271

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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