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  • Estimation of beat-to-beat interval from wearable photoplethysmography sensor on different measurement sites during daily activities 

    Patlar Akbulut, Fatma; Lawless, Kevin; Tanneeru, Akhilesh; Rao, Smriti; Lee, Bongmook; Misra, Veena (2018)
    In this study, we present an algorithm to detect beat-to-beat interval from PPG in the presence of motion artifacts. Our approach includes splitting slowly varying DC components, statistical detrending, and Bessel filtering ...
  • 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 ...
  • 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; 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 ...

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