Recent Submissions

  • 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 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 ...
  • 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 ...
  • Phishing Analysis of Websites Using Classification Techniques 

    Aksu, Doğukan; Turgut, Zeynep; Üstebay, Serpil; Aydın, Muhammed Ali (2019)
    In today's world, where all records are carried into an electronic environment, cyber security represents a very broad scope, with the primary objective of preventing the loss of financial and/or emotional loss of people, ...
  • 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 ...
  • e-Vital: A Wrist-Worn Wearable Sensor Device for Measuring Vital Parameters 

    Patlar Akbulut, Fatma; Özcan, Özgür; Çınar, İpek (2019-10-03)
    In today’s world, connected wearable sensors be­came a delicate part of the imperative daily analysis and assessment to identify the urgency of the state of health. Recent advances in sensor designs and analysis techniques ...
  • Flower Classification with Deep CNN and Machine Learning Algorithms 

    Mete, Büşra Rümeysa; Ensari, Tolga (2019-09-11)
    Development of the recognition of rare plant species will be advantageous in the fields such as the pharmaceutical industry, botany, agricultural, and trade activities. It was also very challenging that there is diversity ...
  • 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 Document Modeling for Personality Detection from Turkish Texts 

    İlgen, Bahar (2019-10-24)
    The usage of social media is increasing exponentially since it has been the easiest and fastest way to share information between people or organizations. As a result of this broad usage and activity of people on social ...
  • Machine Learning Based Phishing Detection from URIs 

    Şahingöz, Özgür Koray; Buber, Ebubekir; Demir, Önder; Diri, Banu (2017-12)
    Due to the rapid growth of the Internet, users change their preference from traditional shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try to find their victims in the cyberspace ...

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