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Recent Submissions

  • 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 ...
  • Anticipation for Customer Analytics 

    AKBURAK, DILEK; Şenvar, Özlem; Yel, Necla (2019-11)
    In the digitalization era, enterprises are required to proactive customer relationships via analytical techniques to execute customer treatment strategies based on predictive analytics drawing on a wealth of data about ...
  • Wind farm layout optimization to maximize total power production 

    ÜLKÜ, ILAYDA; Alabaş Uslu, Çiğdem (2018-05)
    With the rapid increase in energy demand, renewable energy has been considered as an alternative energy resource around the world. A new nonlinear mathematical model is developed in the presented study and a comparison is ...
  • Yağış ile Sızmanın Dolgu Şevlerinin Stabilitesine Etkisi 

    Karabulut, Begüm (2019-11-13)
    In this study, on a high embankment slope that constructed under unsaturated soil conditions, the effects on stability of infiltration into soil with influence of rainfall have been investigated with numerical analysis. ...
  • Taşkent (Özbekistan) Zeminlerinin Geotekniği 

    Mert, Ahmet Can; ÖNALP, AKIN; Arel, Ersin; Duran, İlhan Burak; Duru, Ali Can (2019-11-13)
    Çin’den Bulgaristan’a kadar geniş alanlar lös olarak bilinen topraklarla kaplıdır. Kalınlığı yüzlerce metreye varabilen bu zeminlerin öne çıkan özelliği; suyla karşılaştıklarında gösterdikleri “göçme” davranışıdır. Yüzeysel ...
  • 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 ...
  • Ethanol Sensing with Pure and Boric Acid Doped Eectrospun CuInS2 Nanofibers in the Presence of Relative Humidity 

    Yağcı, Özlem; Arat, Refik; Sarıer, Nihal; Ömür, Birsel Can; Altındal, Ahmet (ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, 2019-12)
    The influence of boric acid doping on ethanol vapor sensing performance of electrospun copper indium disulfide (CuInS2) nanofibers in the presence of various levels of relative humidity was examined for the first time. ...

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