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Browsing Bilgisayar Mühendisliği / Computer Engineering by Author

Browsing Bilgisayar Mühendisliği / Computer Engineering by Author "Yumuşak, Nejat"

Now showing items 1-20 of 33

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 new method of automatic recognition for tuberculosis disease diagnosis using support vector machines.

Amani Yahiaoui; Er, Orhan; Yumuşak, Nejat (SCIENTIFIC PUBLISHERS INDIA, 2017)

Tuberculosis is an infectious disease caused by a bacillus called Mycobacterium tuberculosis. It can lead to death in untreated and inappropriately treated patients particularly in countries with low income. Therefore, ...
A secure communication using cascade chaotic computing systems on clinical decision support

Köksal, Aydın Şeref; Evirgen, Hayrettin; Yumuşak, Nejat (WALTER DE GRUYTER GMBH, 2016)

Clinical decision support systems (C-DSS) provide supportive tools to the expert for the determination of the disease. Today, many of the support systems, which have been developed for a better and more accurate diagnosis, ...
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. ...
An Elective Course Suggestion System Developed in Computer Engineering Department Using Fuzzy Logic

Adak, Muhammed Fatih; Yumuşak, Nejat; Taşkın, Harun (IEEE, 2016)

Besides required courses which are compulsory for each student to be taken, universities also offer elective courses chosen by the students themselves. In their undergraduate study, since students are not guided about the ...
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 ...
Classification of alcohols obtained by QCM sensors with different characteristics using ABC based neural network

M. Fatih Adak; Peter Lieberzeit; Purim Jarujamrus; Yumuşak, Nejat (ELSEVIER - DIVISION REED ELSEVIER INDIA PVT LTD, 2020)

Alcohols with different structures are used frequently in hygiene products and cosmetics. It is desirable to classify these alcohols to evaluate their potential harmful effects using less costly methods. In this study, ...
Classification of E-Nose Aroma Data of Four Fruit Types by ABC-Based Neural Network

Adak, Muhammed Fatih; Yumuşak, Nejat (MDPI, 2016)

Electronic nose technology is used in many areas, and frequently in the beverage industry for classification and quality-control purposes. In this study, four different aroma data (strawberry, lemon, cherry, and melon) ...
Daily basis mid-term demand forecast of city natural gas using univariate statistical techniques

Akpınar, Mustafa; Yumuşak, Nejat (GAZI UNIV, FAC ENGINEERING ARCHITECTURE, 2020)

City distribution companies or companies with high consumption are required to report monthly consumption demand forecasts for the year ahead and year based daily consumption demand forecasts in natural gas sector. This ...
Day-Ahead Natural Gas Demand Forecasting Using Optimized ABC-Based Neural Network with Sliding Window Technique: The Case Study of Regional Basis in Turkey

Akpınar, Mustafa; Adak, Muhammed Fatih; Yumuşak, Nejat (MDPI, 2017)

The increase of energy consumption in the world is reflected in the consumption of natural gas. However, this increment requires additional investment. This effect leads imbalances in terms of demand forecasting, such as ...
Design optimization of distribution transformers with nature-inspired metaheuristics: a comparative analysis

Alhan, Levent; Yumuşak, Nejat (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2017)

Many economies in the world have adopted energy-efficiency requirements or incentive programs mandating or promoting the use of energy-efficient transformers. On the other hand, increases in transformer efficiency are ...
Determination of the Gas Density in Binary Gas Mixtures Using Multivariate Data Analysis

Adak, Muhammed Fatih; Akpınar, Mustafa; Yumuşak, Nejat (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2017)

Some solvents in commercial products may have harmful effects on human health. It is important to determine the percentage of this certain solvent in a product to detect any possible health hazards. In this paper, three ...
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, ...
Discrete design optimization of distribution transformers with guaranteed optimum convergence using the cuckoo search algorithm

Alhan, Levent; Yumuşak, Nejat (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2017)

Transformer design optimization methods presented in the literature rarely yield solutions directly applicable in production; the design engineer usually needs to convert the theoretical solution to a practical one. This ...
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 ...
Impact of small-world topology on the performance of a feed-forward artificial neural network based on 2 different real-life problems

Yumuşak, Nejat; Erkaymaz, Okan; Ozer, Mahmut (TUBITAK Scientific & Technical Research Council Turkey, 2014)

Since feed-forward artificial neural networks (FFANNs) are the most widely used models to solve real-life problems, many studies have focused on improving their learning performances by changing the network architecture ...
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

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 ...