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Browsing by Author "Temurtaş, Feyzullah"

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A comparative study on diabetes disease diagnosis using neural networks

Yumuşak, Nejat; Temurtaş, Feyzullah (PERGAMON-ELSEVIER SCIENCE LTD, 2009)

Diabetes occurs when a body is unable to produce or respond properly to insulin which is needed to regulate glucose. Besides contributing to heart disease, diabetes also increases the risks of developing kidney disease, ...
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 neural network implemented microcontroller system for quantitative classification of hazardous organic gases in the ambient air

Gülbağ, Ali; Temurtaş, Feyzullah (INDERSCIENCE ENTERPRISES LTD, 2009)

In this study, a microcontroller-based gas mixture classification system is proposed to use real-time analyses of the trichloroethylene and acetone binary mixture. A Feed Forward Neural Network (FFNN) structure is performed ...
A study on industrial robotic manipulator model using model based predictive controls

Durmuş, Burhanettin; Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER, 2009)

In this study, a single input single output (SISO) neural generalized predictive control (NGPC) was applied to a six joint robotic manipulator. The SISO generalized predictive control (GPC) was also used for comparison. ...
A study on quantitative classification of binary gas mixture using neural networks and adaptive neuro-fuzzy inference systems

Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2006)

In this study, the feed forward neural networks (FFNNs) were applied and an adaptive neuro-fuzzy inference system (ANFIS) was proposed for quantitative identification of individual gas concentrations (trichloroethylene and ...
A study on radial basis function neural network size reduction for quantitative identification of individual gas concentrations in their gas mixtures

Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2007)

In this study, the multilayer neural networks (MLNNs) with sigmoid hidden layers and radial basis function neural networks (RBFNNs) were compared for quantitative identification of individual gas concentrations in their ...
A study on transient and steady state sensor data for identification of individual gas concentrations in their gas mixtures

Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2007)

In this study, a comparative study was performed for the quantitative identification of individual gas concentrations (trichloroethylene and acetone) in their gas mixtures using transient and steady state sensor responses. ...
Application of neural generalized predictive control to robotic manipulators with a cubic trajectory and random disturbances

Yumuşak, Nejat; Temurtaş, Feyzullah (ELSEVIER SCIENCE BV, 2006)

In this study, a single-input single-output (SISO) neural generalized predictive control (NGPC) was applied to a three-joint robotic manipulator with a cubic trajectory and random disturbances. The SISO generalized predictive ...
Chest diseases diagnosis using artificial neural networks

Er, Orhan; Yumuşak, Nejat; Temurtaş, Feyzullah (Pergamon-Elsevier Science LTD, 2010)

Chronic obstructive pulmonary, pneumonia, asthma, tuberculosis, lung cancer diseases are the most important chest diseases. These chest diseases are important health problems in the world. In this study, a comparative chest ...
Diagnosis of chest diseases using artificial immune system

Er, Orhan; Yumuşak, Nejat; Temurtaş, Feyzullah (PERGAMON-ELSEVIER SCIENCE LTD, 2012)

Chest diseases are one of the greatest health problems for people living in the developing world. Millions of people are diagnosed every year with a chest disease in the world. Chronic obstructive pulmonary, pneumonia, ...
GKP Signal Processing Using Deep CNN and SVM for Tongue-Machine Interface

Kutlucan Gorur; Bozkurt, Mehmet Recep; Muhammet Serdar Bascil; Temurtaş, Feyzullah (INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC, 2019)

The tongue is one of the few organs with high mobility in the case of severe spinal cord injuries. However, most tongue-machine interfaces (TMIs) require the patient to wear obtrusive and unhygienic devices in and around ...
Glossokinetic potential based tongue-machine interface for 1-D extraction

Kutlucan Gorur; Bozkurt, Mehmet Recep; M. Serdar Bascil; Temurtaş, Feyzullah (SPRINGER, 2018)

The tongue is an aesthetically useful organ located in the oral cavity. It can move in complex ways with very little fatigue. Many studies on assistive technologies operated by tongue are called tongue-human computer ...
Glossokinetic potential based tongue-machine interface for 1-D extraction using neural networks

Kutlucan Gorur; Bozkurt, Mehmet Recep; M. Serdar Bascil; Temurtaş, Feyzullah (ELSEVIER, 2018)

This study may serve disabled people to control assistive devices in natural, unobtrusive, speedy and reliable manner. Moreover, it is expected that GKP-based TMI could be a collaboration channel for traditional ...
Harmonic detection using feed forward and recurrent neural networks for active filters

Yumuşak, Nejat; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2004)

In this study, the methods to apply the feed forward and Elman's recurrent neural networks for harmonic detection process in active filter are described. Generally, Fourier transformation is used to analyze a distorted ...
Kimyasal sensör dzilerinde yapay sinir ağları ve bulanık mantık uygulamaları: Gazların sınıflandırılması ve gaz konsantrasyonlarının belirlenmesi

Temurtaş, Feyzullah (Sakarya Üniversitesi, 2000)

Kimyasal Sensör Dizilerinde Yapay Sinir Ağlan ve. Bulanık Mantık Uygulamaları : Gazların Sınıflandırılması ve Gaz Konsantrasyonlarının Belirlenmesi Anahtar kelimeler Gaz sensörleri, Gaz Konsantrsyonu Saptama, Miktarsal ...