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Browsing by Type "conferenceObject"

Browsing by Type "conferenceObject"

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  • Tastan, A.; Yolum, U.; Güler, Mehmet Ali; Zaccariotto, M.; Galvanetto, U. (Elsevier Science Bv, 2016)
    The present paper deals with the problem of cracks propagating in thin orthotropic flat plates under bending loads. We define the mechanical behavior of an orthotropic lamina in which shear deformation can be neglected ...
  • Sirin, Yahya; Demirci, Muhammed Fatih (IEEE, 2015)
    Digital video production is increasing day after day and the effectiveness and efficiency of the image recognition mechanism has became increasingly important. In this study, a new skeleton-based shape recognition algorithm, ...
  • TOBB Ekonomi ve Teknoloji Üniversitesi (TOBB Ekonomi ve Teknoloji Üniversitesi, 2005-05)
  • Beytar, Faruk; Budak, Erdem Inanc; Unlu, Aytekin; Eroğul, Osman (IEEE, 2017)
    In case of traffic accidents, firearm injuries and explosions, it is necessary to apply a tourniquet in order to survive the injuries of serious extremity injuries and blood loss. There are a few things to consider when ...
  • Kurt, N.E.; Sahin, H.B.; Derinkuyu, K. (IEEE Computer Society, 2018-06-27)
    In this study, we focus on the market clearing problem of Turkish day-ahead electricity market. We propose a mathematical model by extending the variety of bid types for different price regions. The commercial solvers may ...
  • Cerit, Betul; Boluk, S. Arda; Demirci, Muhammed Fatih (IEEE, 2016)
    In this paper, the effect of the image resolution for gender detection and age classification have been analyzed by conducting experiments with facial images that have 10 different image resolutions ranging from 2 x 1 to ...
  • Sarikan, S.S.; Özbayoğlu, Ahmet Murat (Elsevier B.V., 2018)
    Anomaly detection is an important part of an Intelligent Transportation System. In this study, image processing and machine learning techniques are used to detect anomalies in vehicle movements. These anomalies include ...
  • Abul, Osman (SPRINGER, 2014)
    In this paper we study the problem of anonymity in multi-instance (MI) micro-data publication. The classical k-anonymity approach is shown to be insufficient and/or inappropriate for MI databases. Thus, it is extended to ...
  • Tolan, Ertan; Tan, Mehmet (SCITEPRESS, 2016)
    Personalized cancer treatment is an ever-evolving approach due to complexity of cancer. As a part of personalized therapy, effectiveness of a drug on a cell line is measured. However, these experiments are backbreaking and ...
  • Bilgin, Ahmet Tunc; Kadıoğlu-Ürtiş, Esra (IEEE, 2015)
    The game of pursuit-evasion has always been a popular research subject in the field of robotics. Reinforcement learning, which employs an agent's interaction with the environment, is a method widely used in pursuit-evasion ...
  • Sezer, O.B.; Özbayoğlu, Ahmet Murat; Dogdu, E. (Association for Computing Machinery, Inc., 2017-04-13)
    In this paper, a neural network-based stock price prediction and trading system using technical analysis indicators is presented. The model developed first converts the financial time series data into a series of buy-sell-hold ...
  • Çetin, M.S.; Çetin, E. H. Özcan; Çelebi, A. S.  ; Çelebi, O. Özcan; Temizhan, A.  ; Aydoğdu, S; Amasyalı, Basri (2018-08-28)
    Introduction: In the pathogenesis of reciprocal ST depression in ST Elevation Myocardial Infarction (STEMI), severe and extensive coronary artery disease, presence of non-culprit obstructive lesions and larger infarct size ...
  • Khaniyev, Tahir; Gever, Basak; Hanalioglu, Zulfiye (Springer-Verlag Berlin, 2016)
    In this study, a renewal-reward process (X(t)) with a generalized reflecting barrier is constructed mathematically and under some weak conditions, the ergodicity of the process is proved. The explicit form of the ergodic ...
  • Aksu, M.U.; Bıçakçı, Kemal; Dilek, M.H.; Özbayoglu, Ahmet Murat; Tatlı, E.İ. (Association for Computing Machinery, Inc., 2018)
    Today’s computer networks are prone to sophisticated multi-step, multi-host attacks. Common approaches of identifying vulnerabilities and analyzing the security of such networks with naive methods such as counting the ...
  • Sarikan, Selim S.; Özbayoğlu, Ahmet Murat; Zilci, Oguzhan (ELSEVIER Science BV, 2017)
    Classification of vehicles is an important part of an Intelligent Transportation System. In this study, image processing and machine learning techniques are used to classify vehicles in dedicated lanes. Images containing ...
  • Bardak, Batuhan; Demirci, Muhammed Fatih (IEEE, 2017)
    With the increased use of smart devices, digital cameras and abundance of memory in the devices, the pictures of the same scenes have been taken several times, resulting in a number of images consisting of the same or very ...
  • Ceyhan, K.; Kurtulmaz, E.; Sert, O.C.; Özyer, Tansel (Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
    In the last few years, Bitcoin is one of the most discussed and popular topic in financial system. This article aims to predict Bitcoin movement by using Machine Learning and Text Mining models. Many models have been used ...
  • Kocak, Onur; Budak, Erdem I.; Beytar, Faruk; Ozgode, Busra; Coruh, Baris; Kocoglu, Arif; Eroğul, Osman (IEEE, 2015)
    Clinical engineering comprise of management of medical technology, medical device maintenance, repair, and calibration which they are bought according to capacity of health institution. In this study, entirely using ...
  • Gok, Mehmet; Özyer, Tansel; Jida, Jamal (ASSOC Computing Machinery, 2015)
    Churn prediction is a customer relationship process that predicts for customers who are at the brink of transferring all the business to competitor. It is predicted by modeling customer behaviors in order to extract patterns. ...
  • Ozkaya, Ece; Aradağ, Selin; Kakaç, Sadık (Amer Soc Mechanical Engineers, 2014)
    In this study, three-dimensional computational fluid dynamics (CFD) analyses are performed to assess the thermal-hydraulic characteristics of a commercial Gasketed Plate Heat Exchangers (GPHEx) with 30 degrees of chevron ...