Atıf Formatları
Gümrük Kontrol Noktalarında Riskli Geçişlerin Belirlenmesine Yönelik Yapay Zekâ Temelli Bir Yaklaşım
  • IEEE
  • ACM
  • APA
  • Chicago
  • MLA
  • Harvard
  • BibTeX

E. Z. Şeker Et Al. , "An Artificial Intelligence Based Approach to Identify Risky Passes at Customs Control Points," Karadeniz Fen Bilimleri Dergisi , vol.14, no.2, pp.476-492, 2024

Şeker, E. Z. Et Al. 2024. An Artificial Intelligence Based Approach to Identify Risky Passes at Customs Control Points. Karadeniz Fen Bilimleri Dergisi , vol.14, no.2 , 476-492.

Şeker, E. Z., Geçici, E., & Taskin, A., (2024). An Artificial Intelligence Based Approach to Identify Risky Passes at Customs Control Points. Karadeniz Fen Bilimleri Dergisi , vol.14, no.2, 476-492.

Şeker, Ezgi, Ebru GEÇİCİ, And Alev TAŞKIN. "An Artificial Intelligence Based Approach to Identify Risky Passes at Customs Control Points," Karadeniz Fen Bilimleri Dergisi , vol.14, no.2, 476-492, 2024

Şeker, Ezgi Z. Et Al. "An Artificial Intelligence Based Approach to Identify Risky Passes at Customs Control Points." Karadeniz Fen Bilimleri Dergisi , vol.14, no.2, pp.476-492, 2024

Şeker, E. Z. Geçici, E. And Taskin, A. (2024) . "An Artificial Intelligence Based Approach to Identify Risky Passes at Customs Control Points." Karadeniz Fen Bilimleri Dergisi , vol.14, no.2, pp.476-492.

@article{article, author={Ezgi Zehra ŞEKER Et Al. }, title={An Artificial Intelligence Based Approach to Identify Risky Passes at Customs Control Points}, journal={Karadeniz Fen Bilimleri Dergisi}, year=2024, pages={476-492} }