Browsing Mühendislik ve Doğa Bilimleri Fakültesi by Subject "Deep Learning"
Now showing items 1-3 of 3
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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 ... -
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 ...