Now showing items 1-3 of 3

    • A novel distributed anomaly detection algorithm based on support vector machines 

      Ergen, Tolga; Kozat, Süleyman S. (Elsevier, 2020-01)
      In this paper, we study anomaly detection in a distributed network of nodes and introduce a novel algorithm based on Support Vector Machines (SVMs). We first reformulate the conventional SVM optimization problem for a ...
    • Prediction of cryptocurrency returns using machine learning 

      Akyıldırım, E.; Goncu, A.; Şensoy, Ahmet (Springer, 2020-04)
      In this study, the predictability of the most liquid twelve cryptocurrencies are analyzed at the daily and minute level frequencies using the machine learning classification algorithms including the support vector machines, ...
    • Surveillance using both video and audio 

      Dedeoğlu, Yiğithan; Töreyin, B. Uğur; Güdükbay, Uğur; Çetin, A. Enis (Springer, 2008)
      It is now possible to install cameras monitoring sensitive areas but it may not be possible to assign a security guard to each camera or a set of cameras. In addition, security guards may get tired and watch the monitor ...