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Browsing Fakülteler / Faculties by Subject "Computer Science"

Browsing Fakülteler / Faculties by Subject "Computer Science"

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  • Bayılmış, Cüneyt; Çeken, Celal; Özçelik, İbrahim (ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2009)
    Ever increasing number of mobile devices in automation systems have revealed the requirement of utilizing wireless communication systems enabling interoperability between existing wired and wireless systems. Therefore, a ...
  • Özçelik, İbrahim (ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2008)
    The Controller Area Network (CAN) is a high-performance and highly reliable advanced serial communication protocol, which efficiently supports distributed real-time control. CAN-based distributed control systems have ...
  • Demirkol, Aşkın; Erol, Emre (SPRINGER, 2006)
    In this paper, as an active sensor imaging technique, a new target density function in form of the range density function(RDF) is developed by Gabor transform which is called short time Fourier transform (STFT). It is shown ...
  • Feriha Soysal; Busra Alma Calli; Coşkun, Erman (ASSOC INFORMATION COMMUNICATION TECHNOLOGY EDUCATION & SCIENCE, 2019)
    The aim of this study is to measure and assess information and communications technology (ICT) literacy and information acquisition skills of high school students and their parents, and to determine factors associated with ...
  • Yumuşak, Nejat; Çerezci, Osman; Temurtaş, Feyzullah; Gunturkun, R; Temurtas, H (Springer-Verlag Berlin, 2004)
    In this study, the method to apply the Elman's recurrent neural networks using resilient back propagation for harmonic detection is described. The feed forward neural networks are also used for comparison. The distorted ...
  • Gülbağ, Ali; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)
    The use of microcontroller in neural network realizations is cheaper. than those specific neural chips. In this study, an intelligent gas concentration estimation system is described. A neural network (NN) structure with ...
  • Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)
    In this study, the application of the single input single output (SISO) neural generalized predictive control (NGPC) of a three joint robotic manipulator with the comparison of the SISO generalized predictive control (GPC) ...
  • Samad Barri Khojasteh; Jose R. Villar; Enrique De La Cal; Victor M. Gonzalez; Javier Sedano; Yazğan, Harun Reşit; Fjd Juez (SPRINGER INTERNATIONAL PUBLISHING AG, 2018)
    Fall detection represents an important issue when dealing with Ambient Assisted Living for the elder. The vast majority of fall detection approaches have been developed for healthy and relatively young people. Moreover, ...
  • Yıldırım, Eray (SPRINGER INTERNATIONAL PUBLISHING AG, 2016)
    The purpose of this study, by using an artificial intelligent approaches, is to compare a correlation between geophysical and geotechnical parameters. The input variables for this system are the electrical resistivity ...
  • Yumuşak, Nejat; Çerezci, Osman; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)
    In this study, the method to apply the Elman's recurrent neural networks using resilient back propagation for harmonic detection is described. The feed forward neural networks are also used for comparison. The distorted ...
  • Mustafa Coban; Ferhat Karakoc; Özen, Mehmet; A Bogdanov (SPRINGER INTERNATIONAL PUBLISHING AG, 2017)
    QTL is an ultra-lightweight block cipher designed for extremely constrained devices. The cipher has two versions, QLT-64 and QTL-128 supporting key lengths of 64 and 128 bits, respectively. In this paper, we present the ...
  • Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2003)
    In this study, a fuzzy logic based algorithm is presented for the concentration estimation of the CCl4 and CHCl3 gases by using the steady state sensor response and an artificial neural network (ANN) structure is proposed ...
  • Yumuşak, Nejat (SPRINGER-VERLAG BERLIN, 2005)
    Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetting phenomenon, which results in loss of ...
  • Yumuşak, Nejat; Öz, Cemil; Temurtaş, Feyzullah; Temurtas, H (Springer-Verlag Berlin, 2003)
    In this study, the application of the single input single output (SISO) neural generalized predictive control (NGPC) and SISO generalized predictive control (GPC) of a three joint robotic manipulator are presented. The ...
  • Öz, Cemil (SPRINGER-VERLAG BERLIN, 2005)
    Sign language, which is a highly visual-spatial, linguistically complete and natural language, is the main mode of communication among deaf people. In this paper, an American Sign Language (ASL) word recognition system is ...
  • Yumuşak, Nejat (SPRINGER-VERLAG BERLIN, 2005)
    Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetting phenomenon. In our previous work, ...
  • Yumuşak, Nejat (SPRINGER-VERLAG BERLIN, 2005)
    Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization performance in detection and classification of ...