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Browsing Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection by Title

Browsing Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection by Title

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  • 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 ...
  • Öztemel, Ercan; Kubat, Cemalettin; Uygun, Özer; T. Canvar; T. Korkusuz; V. Raja; A. Soroka; Ja Jacko (SPRINGER-VERLAG BERLIN, 2009)
    Swarm intelligence is the emergent collective intelligence of groups of simple autonomous agents which are autonomous subsystems that interact with their environment. This paper presents a performance evaluation system for ...
  • 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 ...
  • Temurtaş, Feyzullah; Yumuşak, Nejat (SPRINGER-VERLAG BERLIN, 2004)
    In this study, an artificial neural network (ANN) structure with tapped time:delays is used for the concentration estimation of Toluene gas inside the sensor response time by using the transient sensor response. The Quartz ...
  • 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; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)
    In this study, the method to apply the Elman's recurrent neural networks for harmonic detection process in active filter is proposed. The feed forward neural networks were also used for comparison. We simulated the distorted ...
  • 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, ...
  • Gülbağ, Ali; Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)
    The use of microcontroller in neural network realizations is cheaper than those specific neural chips. However, realization of complicated mathematical operations such as sigmoid activation function is difficult via general ...
  • 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 ...
  • Öz, Cemil (SPRINGER-VERLAG BERLIN, 2005)
    A computer vision system to recognize license plates of vehicles in real-time environments is presented in this study, The images of moving vehicles are taken with a digital camera and analyzed in real-time. An artificial ...
  • Öz, Cemil (SPRINGER-VERLAG BERLIN, 2005)
    In this paper, we present off-line signature recognition and verification system which is based on image processing, moment invariant method and ANN. Two separate sequential neural networks are designed; one for signature ...
  • Demirkol, Aşkın; Demir, Zafer; Emre, Erol (SPRINGER-VERLAG BERLIN, 2005)
    In this paper, a new Target Density Function(TDF) is theorized to image the radar targets by a new estimation algorithm. TDF is represented in a specified manner. This method is developed by inspiring of ambiguity functions. ...
  • Köklükaya, Etem (SPRINGER-VERLAG BERLIN, 2005)
    This paper proposes a new controller based on neural network and fuzzy logic technologies for load frequency control to allow for the incorporation of both heuristics and deep knowledge to exploit the best characteristics ...