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Browsing Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering by Type "conferenceObject"

Browsing Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering by Type "conferenceObject"

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  • 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, ...
  • 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 ...
  • 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 ...
  • 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. ...
  • Hassan, Hasan; Pekhimenko, Gennady; Vijaykumar, Nandita; Seshadri, Vivek; Lee, Donghyuk; Ergin, Oğuz; Mutlu, Onur (IEEE, 2016)
    DRAM latency continues to be a critical bottleneck for system performance. In this work, we develop a low-cost mechanism, called ChargeCache, that enables faster access to recently-accessed rows in DRAM, with no modifications ...
  • Bıçakçı, Kemal; Satiev, Tashtanbek (SPRINGER INT Publishing AG, 2015)
    Android Lock Pattern is popular as a screen lock method on mobile devices but it cannot be used directly over the Internet for user authentication. In our work, we carefully adapt Android Lock Pattern to satisfy the ...
  • Çalık, Rasim Caner; Demirci, Muhammed Fatih (IEEE, 2018)
    Convolutional Neural Networks (CNN) have been successfully applied to image classification problems.Although powerful, they require a large amount of memory. The purpose of this paper is to perform image classification ...
  • Kocak, Yunuscan; Özyer, Tansel; Alhajj, Reda (IEEE, 2016)
    Acquired immune deficiency syndrome (AIDS) is the last and the most life-threatening phase of Human Immunodeficiency Virus (HIV) disease. HIV attacks and heavily affects the immune system of the body which remains unable ...
  • Karimov, Jeyhun; Özbayoğlu, Ahmet Murat (ELSEVIER Science BV, 2015)
    Choosing good candidates for the initial centroid selection process for compact clustering algorithms, such as k-means, is essential for clustering quality and performance. In this study, a novel hybrid evolutionary model ...
  • Yildiz, Huseyin Ugur; Bıçakçı, Kemal; Tavlı, Bülent (IEEE, 2014)
    In wireless sensor networks, nodes having limited battery resources convey data to an energy-unconstrained base station. The amount of data transmitted by a node usually depends on how much local processing is performed. ...
  • Aydoğdu, Mehmet Fatih; Çelik, Vakkas; Demirci, Muhammed Fatih (IEEE, 2017)
    As one of the powerful tools of machine learning, Convolutional Neural Network (CNN) architectures are used to solve complex problems like image recognition, video analysis and natural language processing. In this paper, ...
  • Özyer, Tansel; Alhajj, R. (Institute of Electrical and Electronics Engineers Inc., 2017-10-20)
    Predicting the locations of Response Elements (RE) has received considerable attention in the field of gene sequence analysis and bioinformatics. Protein53 (p53) has a prominent role in the cell cycle and cancer prevention; ...