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  • Performance tuning for machine learning-based software development effort prediction models 

    Ertuğrul, Egemen; Baytar, Zakir; Çatal, Çağatay; Muratlı, Can (2019)
    Software development effort estimation is a critical activity of the project management process. In this study, machine learning algorithms were investigated in conjunction with feature transformation, feature selection, ...
  • 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, ...
  • 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 ...
  • Evaluation of augmented reality technology for the design of an evacuation training game 

    Çatal, Çağatay; Akbulut, Akhan ; tunalı, berkay; Uluğ, Erol; Öztürk, Eren (SPRINGER LONDON LTD, 236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND, 2019-11)
    Building evacuation training systems and training employees in an organization have a vital role in emergency cases in which people need to know what to do exactly. In every building, procedures, rules, and actions are ...
  • Deep learning based security management of information systems: A comparative study 

    Sahingoz, Ozgur Koray; Çebi, Cem Berke; Bulut, Fatma Sena; Fırat, Hazal; karataş, 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 ...
  • Code Generator Framework for Smart TV Platforms 

    Akbulut, Akhan ; TOPRAK, SEZER (INST ENGINEERING TECHNOLOGY-IET, MICHAEL FARADAY HOUSE SIX HILLS WAY STEVENAGE, HERTFORD SG1 2AY, ENGLAND, 2019-08)
    In recent years, smart TVs have become more common, making them need to be included as targets for the software industry. In this study, the authors developed a code generator framework and demonstrated it in an architectural ...

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