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Browsing Bilgisayar ve Bilişim Bilimleri Fakültesi by Subject "Computer Science"

Browsing Bilgisayar ve Bilişim Bilimleri Fakültesi by Subject "Computer Science"

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  • Zengin, Ahmet; Öztürk, Muhammed Maruf (Elsevier science BV, 2012)
    In this paper, verification and validation of the DEVS models in DEVS-Suite environment are discussed. A case example called OSPF-DEVS simulator is applied and verification and validation tests are performed on it to show ...
  • Arafat Senturk; Resul Kara; Özçelik, İbrahim (COMSIS CONSORTIUM, 2020)
    Wireless Sensor Networks (WSN) are the networks that can realize data processing and computation skills of sensor nodes over the wireless channel and they have several communication devices. Wireless Multimedia Sensor ...
  • Akgün, Devrim; Pakize Erdogmus (ELSEVIER SCIENCE BV, 2015)
    Genetic algorithms (GA) provide an efficient method for training filters to find proper weights using a fitness function where the input signal is filtered and compared with the desired output. In the case of image processing ...
  • Muhammed Maruf Ozturk; Zengin, Ahmet (ELSEVIER, 2016)
    In defect prediction studies, open-source and real-world defect data sets are frequently used. The quality of these data sets is one of the main factors affecting the validity of defect prediction methods. One of the issues ...
  • 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 ...
  • 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) ...
  • 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 ...
  • 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 ...
  • Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)
    In this study, the Elman's recurrent neural networks using conjugate gradient algorithm is used for harmonic detection. The feed forward neural networks are also used for comparison. The conjugate gradient algorithm is ...
  • Öz, Cemil (ELSEVIER SCIENCE BV, 2007)
    Sign language (SL), which is a highly visual-spatial, linguistically complete, and natural language, is the main mode of communication among deaf people. Described in this paper are two different American Sign Language ...
  • Yüzkollar, Can; Kocabıçak, Ümit (ELSEVIER, 2015)
    In this paper, we propose a new reversible image watermarking method based on interpolation-error expansion called region based interpolation error expansion (RBIEE). We improved Thodi's prediction error expansion (PEE) ...