Açık Akademik Arşiv Sistemi

Browsing Mühendislik Fakültesi by Subject "Computer Science"

Browsing Mühendislik Fakültesi by Subject "Computer Science"

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  • Controlling Hyperchaotic Finance System with Combining Passive and Feedback Controllers 
    Kocamaz, Uğur Erkin; Göksu, Alper; Uyaroğlu, Yılmaz; Taşkın, Harun (KAUNAS UNIV TECHNOLOGY, 2018)
    In this paper, a novel control method that combines passive, linear feedback, and dislocated feedback control methods is proposed and applied to the control of the four-dimensional hyperchaotic finance system which has ...
  • Controlling Hyperchaotic Finance System with Combining Passive and Feedback Controllers 
    Kocamaz, Uğur Erkin; Göksu, Alper; Uyaroğlu, Yılmaz; Taşkın, Harun (KAUNAS UNIV TECHNOLOGY, 2018)
    In this paper, a novel control method that combines passive, linear feedback, and dislocated feedback control methods is proposed and applied to the control of the four-dimensional hyperchaotic finance system which has ...
  • Effects of project size and resource constraints on project duration through priority rule-base heuristics 
    Özkan, Ömer; Gündüz, Mehmet (SPRINGER, 2009)
    Priority rules are one of the frequently used methods in project programming with resource-constraints. In this paper, the effects of project size and number of resource constraints on project duration are compared to the ...
  • Enterprise knowledge management model: a knowledge tower 
    Arslankaya, Seher; Öztemel, Ercan (SPRINGER LONDON LTD, 2012)
    One of the most important aspects of knowledge management (KM) is to create a system that is capable of providing mechanisms and methodologies allowing the right knowledge to be at the right place and at the right person ...
  • Fuzzy Rule-Based Analysis of Spatio-Temporal ATM Usage Data for Fraud Detection and Prevention 
    Betul Ekizoglu; Demiriz, Ayhan; Z Tang; J Du; S Yin; L He; R Li (IEEE, 2015)
    We present a novel approach for detecting fraudulent behaviors from automated teller machine (ATM) usage data by analyzing geo-behavioral habits of the customers describe the use of a fuzzy rule-based system capable of ...
  • Fuzzy rule-based analysis of spatio-temporal ATM usage data for fraud detection and prevention 
    Demiriz, Ayhan; Betul Ekizoglu (IOS PRESS, 2016)
    This article presents a novel approach for detecting fraudulent behaviors from automated teller machine (ATM) usage data by analyzing geo-behavioral habits of the customers and describe the use of a fuzzy rule-based system ...
  • Hesitant fuzzy axiomatic design technique: A case for humanitarian relief 
    Kır, Sena; Yazğan, Harun Reşit (IOS PRESS, 2018)
    Decision makers can be irresolute evaluating an alternative according to a criterion. In such cases, it is best to consider the hesitancy rather than force the decision maker to make a clear evaluation. This paper focused ...
  • Increasing the efficiency of quicksort using a neural network based algorithm selection model 
    Kocamaz, Uğur Erkin (ELSEVIER SCIENCE INC, 2013)
    Quicksort is one of the most popular sorting algorithms, it is based on a divide-and-conquer technique and has a wide acceptance as the fastest general-purpose sorting technique. Though it is successful in separating large ...
  • International Federation for Information Processing 
    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 ...
  • Lecture Notes in Artificial Intelligence 
    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, ...
  • Lecture Notes in Artificial Intelligence 
    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 ...
  • LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 
    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 ...
  • Lecture Notes in Computer Science 
    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 ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    Çakar, Tarık (SPRINGER-VERLAG BERLIN, 2006)
    We present a neuro-dommance rule for single machine total weighted tardiness problem with unequal release dates. To obtain the neuro-dominance rule (NDR), backpropagation artificial neural network (BPANN) has been trained ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    Çakar, Tarık (SPRINGER-VERLAG BERLIN, 2005)
    We present a neuro-dominance rule for single machine total weighted tardiness problem. To obtain the neuro-dominance rule (NDR), backpropagation artificial neural network (BPANN) has been trained using 5000 data and also ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    Demirkol, Aşkın; Demir, Zafer; Emre, Erol (SPRINGER-VERLAG BERLIN, 2006)
    In this work, four alternative algorithms for Classification/Discrimination are described which we have developed recently. These are believed to have several advantages over the previous ones via the introduction of a new ...