Now showing items 1-20 of 43

    • A Comparative Study to Determine the Effective Window Size of Turkish Word Sense Disambiguation Systems 

      İlgen, Bahar; Adalı, Eşref; Tantuğ, Ahmet Cüneyd (Springer, 233 Spring Street, New York, Ny 10013, United States, 2013)
      In this paper, the effect of different windowing schemes on word sense disambiguation accuracy is presented. Turkish Lexical SampleDataset has been used in the experiments. We took the samples of ambiguous verbs and nouns ...
    • 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 ...
    • A Survey on White Box Cryptography Model for Mobile Payment Systems 

      Şengel, Öznur; Aydın, Muhammed Ali; Sertbaş, Ahmet (2017-12-28)
      The technology is showing rapid development and these developments are changing our lives, our habits, and our needs. As electronic devices, which are indispensable for our daily lives, continue to be intelligent, we are ...
    • A Wearable Device for Virtual Cyber Therapy of Phantom Limb Pain 

      Aşcı, Güven; Akbulut, Akhan ; Tarakçı, Ela; Aydın, Muhammed; Zaim, Abdul Halim (2018-09)
      Phantom limb pain (PLP) is the condition most often occurs in people who have had a limb amputated and it is may affect their life severely. When the brain sends movement signals to the phantom limb, it returns and causes ...
    • An Approach to the Design of Bilingual Desktop Publishing Systems 

      Taylı, Murat; Salamah, A.; Tantawy, A. (1988)
    • An efficient circuit switching mechanism for Inter process communication in a transputer network 

      Taylı, Murat; Benmaiza, M. (IEEE, 1990)
      Distributed real time system require interprocess communication (IPC) services to be not only reliable and efficient but also predictable. In such dynamic systems, predictability can only be achieved by proper architectural ...
    • Assistant Assignment to Final Exams 

      Şengel, Öznur (2014-07-13)
    • 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 ...
    • Avoiding Deadline Decay Under Transient Overloads 

      Swim, B.; Taylı, Murat; Benmaiza, M.; Woodward, M. (IEEE, 1995)
      Deadline scheduling policies based on stochastic computation times perform well in average but fail in presence of transient overloads, causing already scheduled tasks to miss their deadline. This paper presents an approach ...
    • Building Bilingual Microcomputer Systems 

      Taylı, Murat; Salamah, A. (1990-05)
      In the Arab world the need for bilingual microcomputer systems is ever increasing. In addition to the ability to process the Arabic and English scripts, an ideal system should support the use of existing applications with ...
    • Building up lexical sample dataset for Turkish word sense disambiguation 

      İlgen, Bahar; Adalı, Eşref; Tantuğ, Ahmet Cüneyd (2012-07-02)
      Word Sense Disambiguation (WSD) has become even more important research area in recent years with the widespread usage of Natural Language Processing (NLP) applications. WSD task has two variants: “Lexical Sample” and “All ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Determining the Cryptography Algorithm and Model for Mobile Payment Systems 

      Şengel, Öznur; Aydın, Muhammed Ali; Şertbaş, Ahmet (2018-10)
      New payment applications are developed with demands and needs of people. People wants to do their transaction and shopping faster and easily than the other devices. Mobile phones are used for not only communications but ...
    • 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 ...
    • Digital Data Forgetting: A Machine Learning Approach 

      Mete, Büşra Rümeysa; Günay, Melike; Aşıroğlu, Batuhan; Yıldız, Eyyüp; Zencirli, Ahmet; Ensari, Tolga; Nalçakan, Yağız (2018-10)
      Digital transformation of the world goes very fast during last two decades. Today, data is power and very important. Firstly, magnetic tapes and then digital data storages have been used to collect all data. After this ...