Yazar "ALTAN, Gökhan" için Diğer Atıf Dizinlerdeki Yayınlar listeleme

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Deep Belief Networks Based Brain Activity Classification Using EEG from Slow Cortical Potentials in Stroke

ALLAHVERDİ, Novruz; ALTAN, Gökhan; KUTLU, Yakup (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

ALLAHVERDİ, Novruz; ALTAN, Gökhan; KUTLU, Yakup (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 ...
Diagnosis of Coronary Artery Disease Using Deep Belief Networks

ALLAHVERDİ, Novruz; KUTLU, Yakup; ALTAN, Gökhan (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

ALLAHVERDİ, Novruz; ALTAN, Gökhan; KUTLU, Yakup (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

ALLAHVERDİ, Novruz; KUTLU, Yakup; ALTAN, Gökhan (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 ...