Recent Submissions

  • 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 ...
  • Disease Prediction Using Weighted Artificial Immune System 

    Günay, Melike; Orman, Zeynep (2019-07)
    The Artificial Immune System (AIS) is a computational intelligence method inspired from the human immune system, which is applied to real-world problem solving related to classification, optimization and anomaly detection ...
  • On the Direction Guidance in Structure Tensor Total Variation Based Denoising 

    Demircan-Tureyen, Ezgi (2019-07)
    This paper introduces a new analysis-based regularizer, which incor­ porates the neighborhood-awareness of the structure tensor total variation (STV) and the tunability of the directional total variation (DTV), in favor ...
  • Software Versioning with Microservices through the API Gateway Desing Pattern 

    Akbulut, Akhan (2019-06)
    he microservices architecture is a relatively new approach in implementing service-oriented systems. This cloud­ native architectural style enables the implementation of loosely coupled, agile, reuse-oriented, and lightweight ...
  • A Novel Input Set for LSTM based Transport Mode Detection 

    Aşcı, Güven; Güvensan, M.Amaç (2019-03)
    The capability of mobile phones are increasing with the development of hardware and software technology. Especially sensors on smartphones enable to collect environmental and personal information. Thus, smartphones become ...
  • Comparison of Cryptography Algorithms for Mobile Payment Systems 

    Şengel, Öznur; Aydın, Muhammed; Sertbaş, Ahmet (2018-10)
    Mobile payment services are the newest and most popular technology that is developing according to our habits and needs. Consumer all over the world are using mobile phone for payment as well as communication. The main ...

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