Browsing Bilgisayar Mühendisliği by Title
Now showing items 2-21 of 22
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Classification of Linked Data Sources Using Semantic Scoring
(2018)Linked data sets are created using semantic Web technologies and they are usually big and the number of such datasets is growing. The query execution is therefore costly, and knowing the content of data in such datasets ... -
Deep Belief Networks Based Brain Activity Classification Using EEG from Slow Cortical Potentials in Stroke
(2016-09-03)An electroencephalogram (EEG) is an electrical activity which is recorded from the scalp over the sensorimotor cortex during vigilance or sleeping conditions of subjects. It can be used to detect potential problems ... -
Deep Learning for COPD Analysis Using Lung Sounds
(2018-07)Deep Learning(DL) algotithms have become popular with the detailed analyzing capabilities with many hidden layers in recent years. The size of hidden layer in the classifier models is complately correlated with the analyzing ... -
Detection of the Electronic Attributes of the Nanostructured Materials with Fuzzy Logic
(2018-04)This is a study, in which a trial was done to estimate the energy band gap (Eg) of single-walled carbon nanotubes (SWCNTs) by using a fuzzy logic algorithm that uses five inputs (strain value, fermi energy level, average ... -
Diagnosis of Coronary Artery Disease Using Deep Belief Networks
(2016-05)In this study, a decision-support system is presented to aid cardiologists during the diagnosis and to create a base for a new diagnosis system which separates two classes (CAD and no-CAD patients) using an electrocardiogram ... -
Effective 3D Surface Modeling for Geographic Information Systems
(Copernicus Gesellschaft Mbh, 2016)Abstract. In this work, we propose a dynamic, flexible and interactive urban digital terrain platform with spatial data and query processing capabilities of geographic information systems, multimedia database functionality ... -
The Function Analysis and its Application to Determination of Fuzzy Subsets for Model Helicopter Fuzzy Control
(2017-05)In this study, an analysis of the function that determines the sub-clusters of the fuzzy controller for model helicopter control is performed. For this purpose, a model helicopter and a test platform were established ... -
Fuzzy Expert System to Determinate of Risk Diabetes Disease of Type 2
(2018-07)Diabetes is a disease caused by insucfficent production of insulin by the organ called pancreas. If the insulin secretion in the patient is absent or too small, then it is called diabetes type 1; if the amount of insulin ... -
Fuzzy Logic Control System with Helicopter Takeoff and Landing
(2016-11)In this study, fuzzy expert system is designed for the provision of helicopter takeoffs and landings by fuzzy logic. For this purpose, a model helicopter and the test platform have been created that helicopter movements ... -
Fuzzy Position Control Approach for Autonomous Robot Controller
(2017-05)In this study, the application of position control on a fixed track by an autonomous robot fuzzy controller approach is realized. For this purpose, a system is designed in which the real time data exchange can be done both ... -
Image Quality Assessment Metrics Combining Structural Similarity and Image Fidelity with Visual Attention
(2015)Image quality assessment has a great importance in several image processing applications. Recently, various objective image quality metrics have been proposed in order to predict human visual perception. In this paper, ... -
A Machine Learning Framework to Identify the Causes of HbA1c in Patients With Type 2 Diabetes Mellitus
(CEAI, 2019-06)In this study, the effects of blood glucose levels on hemoglobin A1c (HbA1c) were investigated. For this reason, а classification model was developed by carrying out a logistic regression analysis based on machine learning ... -
Matematik Öğretmen Adaylarının Lineer Kongrüanslara İlişkin Soyutlamayı İndirgeme Eğilimleri
(Eğitim ve İnsani Bilimler Dergisi: Teori ve Uygulama, 2014-12-24)Öz: Matematik öğretmen adaylarının lisans eğitimi süresince alan bilgilerinin şekillenmesinde önemli rolü olan derslerden birisi de Sayılar Teorisi dersidir. Bu çalışmada, matematik öğretmen adaylarının, Sayılar Teorisi ... -
A Multistage Deep Belief Networks Application on Arrhythmia Classification
(2016-09-03)An electrocardiogram (ECG) is a biomedical signal type that determines the normality and abnormality of heart beats using the electrical activity of the heart and has a great importance for cardiac disorders. The computer-aided ... -
A Multistage Deep Learning Algorithm for Detecting Arrhythmia
(IEEE, 2017-01)Deep Belief Networks (DBN) is a deep learning algorithm that has both greedy layer-wise unsupervised and supervised training. Arrhythmia is a cardiac irregularity caused by a problem of the heart. In this study, a ... -
A New Approach to Early Diagnosis of Congestive Heart Failure Disease by Using Hilbert-Huang Transform
(2016-12)Congestive heart failure (CHF) is a degree of cardiac disease occurring as a result of the heart's inability to pump enough blood for the human body. In recent studies, coronary artery disease (CAD) is accepted as the most ... -
On Classification of Semigroup N by Green’s Theorem
(2022)In previous papers, it has been recently defined a new class of semigroups based on both Rees matrix and completely 0-simple semigroups. For this new structure, it has been introduced with certain basic properties and ... -
Some Indices over a New Algebraic Graph
(2021)In this paper, we first introduce a new graph over an extension of semigroups and after that we study and characterize the spectral properties such as the diameter, girth, maximum and minimum degrees, domination number, ... -
SpEnD: Linked Data SPARQL Endpoints Discovery Using Search Engines
(2017)Linked data endpoints are online query gateways to semantically annotated linked data sources. In order to query these data sources, SPARQL query language is used as a standard. Although a linked data endpoint (i.e. SPARQL ... -
A Study of Sound Transmission Loss for Building Materials Using Simulative and Experimental Approaches
(Gazi Universitesi Muhendislik-Mimarlik, 2016)The sound insulation models that we use in this study are based on theoretical computations and their aim is to reduce time, labor and cost consumption during the calculation of “Sound Transmission Loss (R)” of a particular ...