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Browsing Bilgisayar Mühendisliği / Computer Engineering by Subject "Computer Science"

Browsing Bilgisayar Mühendisliği / Computer Engineering by Subject "Computer Science"

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  • Interconnection of CAN segments through IEEE 802.16 wireless MAN 
    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 ...
  • Lecture Notes in Artificial intelligence 
    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 ...
  • LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 
    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 ...
  • Lecture Notes in Artificial Intelligence 
    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) ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    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 ...
  • Lecture Notes in Computer Science 
    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 ...
  • Lecture Notes in Computer Science 
    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 ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    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 ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    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, ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    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 ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    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 ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    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 ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    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 ...
  • Linguistic properties based on American Sign Language isolated word recognition with artificial neural networks using a sensory glove and motion tracker 
    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 ...
  • Region based interpolation error expansion algorithm for reversible image watermarking 
    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) ...
  • Software defect prediction using cost-sensitive neural network 
    Ayan, Kürşat (ELSEVIER, 2015)
    The software development life cycle generally includes analysis, design, implementation, test and release phases. The testing phase should be operated effectively in order to release bug-free software to end users. In the ...
  • urgMAC: A New Traffic and QoS-aware Cross-Layer MAC protocol for Wireless Multimedia Sensor Networks 
    Yunus Ozen; Bayılmış, Cüneyt (OXFORD UNIV PRESS, 2018)
    Wireless Multimedia Sensor Networks (WMSNs) transmit heterogeneous data having different quality of service and urgency constraints. WMSNs focus on offering QoS for multimedia transmission while Wireless Sensor Networks ...