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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 ...
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 ...
An Artificial Neural Network Study for Predicting Sex in Bulls
(2018-04)
In this study, the research and analyzes were carried
out on sex determination of bull sperm cells using an artificial
neural network. Gender identification is important in animal
breeding, focusing on the desired outcome ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...