Now showing items 1-8 of 8

    • Automatic HTML code generation from mock-up images using machine learning techniques 

      Asiroğlu, Batuhan; Mete, Büşra Rümeysa; Yıldız, Eyyüp; Nalçakan, Yağız; Sezen, Alper; Dağtekin, Mustafa; Ensari, Tolga (2019)
      The design cycle for a web site starts with creating mock-ups for individual web pages either by hand or using graphic design and specialized mock-up creation tools. The mock-up is then converted into structured HTML or ...
    • Deep Learning Approaches for Phantom Movement Recognition 

      Akbulut, Akhan; Aşçı, Güven; Güngör, Faray; Tarakçı, Ela; Aydın, Muhammed Ali; Zaim, Abdül Halim (2019-11-03)
      Phantom limb pain has a negative effect on the life of individuals as a frequent consequence of limb amputation. The movement ability on the lost extremity can still be maintained after the amputation or deafferentation, ...
    • Deep learning based classification of malaria from slide images 

      Kalkan, Soner Can; Sahingoz, Ozgur Koray (2019)
      As one of the most life-threatening disease in the tropical and warmer-climate countries, Malaria affects not only animals but also humans who can be infected by only a single bite from a mosquito. Although this disease ...
    • Deep learning based forecasting in stock market with big data analytics 

      Şişmanoğlu, Gözde; Önde, Mehmet Ali; Koçer, Furkan; Sahingoz, Ozgur Koray (2019)
      In recent years, due to the technological improvements in computers' hardware and enhancements in the machine learning techniques, there are two increasing approaches for problem-solving as the use of "Big Data" and "Parallel ...
    • Deep learning based security management of information systems: A comparative study 

      Sahingoz, Ozgur Koray; Çebi, Cem Berke; Bulut, Fatma Sena; Fırat, Hazal; Karatas, Gözde (2020-01)
      In recent years, there is a growing trend of internetization which is a relatively new word for our global economy that aims to connect each market sectors (or even devices) by using the global network architecture as the ...
    • Empirical study on multiclass classification-based network intrusion detection 

      Elmasry, Wisam; Akbulut, Akhan; Zaim, Abdul Halim (WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2019-11)
      Early and effective network intrusion detection is deemed to be a critical basis for cybersecurity domain. In the past decade, although a significant amount of work has focused on network intrusion detection, it is still ...
    • Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic 

      Elmasry, W.; Akbulut, A.; Zaim, A.H (2020-02-26)
      The prevention of intrusion is deemed to be a cornerstone of network security. Although excessive work has been introduced on network intrusion detection in the last decade, finding an Intrusion Detection Systems (IDS) ...
    • Intrusion detection systems with deep learning: A systematic mapping study 

      Ösken, Sinem; Yıldırım, Ecen Nur; Karataş, Gözde; Cuhacı, Levent (2019)
      In this study, a systematic mapping study was conducted to systematically evaluate publications on Intrusion Detection Systems with Deep Learning. 6088 papers have been examined by using systematic mapping method to evaluate ...