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Browsing Elektrik - Elektronik Mühendisliği / Electrical and Electronics Engineering by Subject

Browsing Elektrik - Elektronik Mühendisliği / Electrical and Electronics Engineering by Subject "Computer Science"

Now showing items 1-11 of 27

A FPGA Based Remote Accessible Digital System Laboratory Prototype

M. Serdar Bascil; Yazıcı, İrfan; Temurtaş, Feyzullah (IEEE COMPUTER SOC, 2012)

In this work, a FPGA based remote accessible digital system laboratory prototype is created for Electrical & Electronics Engineering undergraduate students. The system consists of an Altera DE2 development and education ...
A new classification approach using discriminant functions

Demirkol, Aşkın; Demir, Zafer; Emre, Erol (INST INFORMATION SCIENCE, 2005)

In this study, an approach involving new types of cost functions is given for the construction of discriminant functions. Centers of mass, not specified a priori, around feature vectors are clustered using cost function. ...
A new security approach for public transport application against tag cloning with neural network-based pattern recognition

Düzenli, Gürsel (SPRINGER LONDON LTD, 2015)

RFID tags are widely used in situations where their counterfeiting or cloning can bring financial rewards. Cloning is a particular problem because it gets round the sophisticated security measures. This paper describes a ...
A Novel Chaotic System for Secure Communication Applications

Durdu, Ali; Özcerit, Ahmet Turan; Uyaroğlu, Yılmaz (KAUNAS UNIV TECHNOLOGY, 2015)

The secure communication using synchronization between identical chaotic systems have been introduced in literature for a long time. A well-known practical application of chaotic synchronized systems is the Pecora and ...
An Adaptive Neural Network Control Scheme for Stabilizing Chaos to the Stable Fixed Point

Kursad Gokce; Uyaroğlu, Yılmaz (KAUNAS UNIV TECHNOLOGY, 2017)

A neural network control scheme with a novel adaptive learning rate is proposed to stabilize the chaotic trajectory of the chaotic system to a stable fixed point. A new approach is proposed to determine the stability of ...
Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques

Uçar, Muhammed Kürşad; Bozkurt, Mehmet Recep; Bilgin, Cahit; Kemal Polat (SPRINGER, 2017)

Obstructive sleep apnea is a syndrome which is characterized by the decrease in air flow or respiratory arrest depending on upper respiratory tract obstructions recurring during sleep and often observed with the decrease ...
Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques

Bozkurt, Mehmet Recep; Bilgin, Cahit; Kemal Polat (SPRINGER, 2018)

It is extremely significant to identify sleep stages accurately in the diagnosis of obstructive sleep apnea. In the study, it was aimed at determining sleep and wakefulness using a practical and applicable method. For this ...
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 ...
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

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 ...