Now showing items 1-7 of 7

    • Comparison of lung cancer detection algorithms 

      Günaydın, Özge; Günay, Melike; Şengel, Öznur (International Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science (EBBT), 2019)
      Lung cancer is a kind of difficult to diagnose and dangerous cancer. It commonly causes death both men and women so fast accurate analysis of nodules is more important for treatment. Various methods have been used for ...
    • Development of a software vulnerability prediction web service based on artificial neural networks 

      Çatal, Çağatay; Akbulut, Akhan ; Ekenoğlu, Ecem; Alemdaroğlu, Meltem (2017)
      Detecting vulnerable components of a web application is an important activity to allocate verification resources effectively. Most of the studies proposed several vulnerability prediction models based on private and public ...
    • Diagnosis of lung cancer using artificial immune system 

      Günay, Melike; Orman, Zeynep; Ensari, Tolga; Oukid, Salina; Benblidia, Nadjia (International Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science (EBBT), 2019)
      In this study, we implement the Artificial Immune System method to increase the number of data in the lung cancer dataset and obtain higher prediction rate for the diagnosis of lung cancer. Artificial Immune System is ...
    • EOG Sinyalleri için Sınıflandırma Algoritmalarının Karşılaştırılması 

      Gürkan, Güray; Gürkan, Serkan; Uşaklı, Ali Bülent (IEEE, 2012)
      Bu bildiride, belirli göz hareketleri sonucu elde edilen elektrookülogram (EOG) sinyallerinin sınıflandırılması için Destek Vektör Makinesi (DVM) ve Yapay Sinir Ağı (YSA) yöntemleri karşılaştırılmaktadır. Göz hareketleri ...
    • New approach for predictive churn analysis in Telecom 

      Günay, Melike (2019)
      In this article, we propose a new approach for the churn analysis. Our target sector is Telecom industry, because most of the companies in the sector want to know which of the customers want to cancel the contract in the ...
    • Performance tuning for machine learning-based software development effort prediction models 

      Ertuğrul, Egemen; Baytar, Zakir; Çatal, Çağatay; Muratlı, Can (2019)
      Software development effort estimation is a critical activity of the project management process. In this study, machine learning algorithms were investigated in conjunction with feature transformation, feature selection, ...
    • Yapay Sinir Ağları ile Öngörü Modellemesi 

      Ataseven, Burçin (2014)
      Gelişen teknolojiye paralel olarak artan işleme ve hesaplama gücü ile birlikte, karmaşık simülasyonların yapılması ve gelişmiş yapay zeka teknolojilerini kullanılarak temel kriterlere dayalı olarak geleceğe dönük ...