Now showing items 1-5 of 5

    • A complete framework of radar pulse detection and modulation classification for cognitive EW 

      Yar, Ersin; Kocamış, M. B.; Orduyılmaz, A.; Serin, M.; Efe, M. (Institute of Electrical and Electronics Engineers Inc., 2019)
      In this paper, we consider automatic radar pulse detection and intra-pulse modulation classification for cognitive electronic warfare applications. In this manner, we introduce an end-to-end framework for detection and ...
    • Deep learning based unsupervised tissue segmentation in histopathological images 

      Köylü, Troya Çağıl (Bilkent University, 2017-11)
      In the current practice of medicine, histopathological examination of tissues is essential for cancer diagnosis. However, this task is both subject to observer variability and time consuming for pathologists. Thus, it ...
    • Deep learning in electronic warfare systems: Automatic intra-pulse modulation recognition 

      Akyön, Fatih Çağatay; Alp, Y. K.; Gök, G.; Arıkan, Orhan (Institute of Electrical and Electronics Engineers, 2018)
      Detection and classification of radars in electronic warfare systems is a major problem. In this work, we propose a novel deep learning based method that automatically recognizes intra-pulse modulation types of radar ...
    • Image classification with energy efficient hadamard neural networks 

      Deveci, Tuba Ceren (Bilkent University, 2018-01)
      Deep learning has made significant improvements at many image processing tasks in recent years, such as image classification, object recognition and object detection. Convolutional neural networks (CNN), which is a popular ...
    • Spoofing attack detection by anomaly detection 

      Fatemifar, S.; Arashloo, Shervin Rahimzadeh; Awais, M.; Kittler, J. (Institute of Electrical and Electronics Engineers Inc., 2019)
      Spoofing attacks on biometric systems can seriously compromise their practical utility. In this paper we focus on face spoofing detection. The majority of papers on spoofing attack detection formulate the problem as a two ...