• Generating Synthetic Data with Game Engines for Deep Learning Applications 

      Özfuttu, Kamil Anıl (Bilişim Enstitüsü, 2022)
      In this thesis, we present a novel method that aims to generate labeled synthetic data for use in training drone detection deep learning models. Modern deep learning methods provide state-of-the-art performance on object ...
    • Petri Ağları Kullanarak Oyun Geliştirme 

      Fikret, Avcı (Bilişim Enstitüsü, 2022-09)
      Within the scope of this thesis, a real-time user interaction game has been developed in which game dynamics are defined on Petri Nets. Time-Augmented and Stochastic Petri Nets has been used in the development of the game. ...