Veri Artırmanın CNN Tabanlı Derin Sinir Ağı Modellerine Etkisi


Abstract views: 4 / PDF downloads: 4

Authors

  • Kadir KESGİN Bandırma Onyedi Eylül Üniversitesi

Keywords:

Veri Artırma, CNN, Derin Sinir Ağları

Abstract

 

 

Downloads

Download data is not yet available.

Author Biography

Kadir KESGİN, Bandırma Onyedi Eylül Üniversitesi

Bilgisayar Teknolojileri Bölümü / Gönen MYO, Türkiye

References

Yakar, M., Yılmaz, H. M., & Mutluoglu, O. (2014). Performance of photogrammetric and terrestrial laser scanning methods in volume computing of excavation and filling areas. Arabian Journal for Science and Engineering, 39, 387-394.

Alptekin, A., & Yakar, M. (2020). Determination of pond volume with using an unmanned aerial vehicle. Mersin Photogrammetry Journal, 2(2), 59-63.

Karataş, L., Alptekin, A., & Yakar, M. (2022). Mardin historical Kuyumcular (Jewelers) Bazaar restoration evaluation. Advanced Engineering Days (AED), 5, 15-17.

Maune, D. F. (2001). Digital elevation model technologies and applications: The DEM user manual. The American Society for Photogrammetry and Remote Sensing. ISBN:1-57083-064-9

Downloads

Published

2025-05-09

How to Cite

KESGİN, K. (2025). Veri Artırmanın CNN Tabanlı Derin Sinir Ağı Modellerine Etkisi . International Journal of Advanced Natural Sciences and Engineering Researches, 9(5), 119–122. Retrieved from https://as-proceeding.com/index.php/ijanser/article/view/2652

Issue

Vol. 9 No. 5 (2025): IJANSER

Section

Articles