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A Multistage Deep Learning Algorithm for Detecting Arrhythmia
(Institute of Electrical and Electronics Engineers, 2018)
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 multi-stage ...
A new approach to early diagnosis of congestive heart failure disease by using Hilbert-Huang transform
(Elsevier Ireland Ltd., 2016)
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 ...
Kablosuz algılayıcı ağlarda düğümlerin kapsama yarıçapının ağ ömrüne etkisi
(Institute of Electrical and Electronics Engineers Inc., 2017)
Kablosuz algılayıcı ağlarda (KAA) ağ ömrünün iyileştirilmesi için kümeleme ve yönlendirme algoritmalarının yanısıra performans parametreleri de oldukça önemlidir. Düğüm sayısı, ağ alanı ve düğümlerin kapsama yarıçapı gibi ...
ECG based human identification using Second Order Difference Plots
(Elsevier, 2019)
Background and objective: ECG is one of the biometric signals that has been studied in peer-reviewed over past years. The developments on the signal analysis methods show that the studies on the ECG would continue unabatedly. ...
Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease
(Institute of Electrical and Electronics Engineers Inc., 2020)
Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the world. Because COPD is an incurable disease and requires considerable time to be diagnosed even by an experienced specialist, it ...