Ara
Toplam kayıt 5, listelenen: 1-5
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 ...
Parkinson Hastalığı Teşhisi için Yapay Arı Kolonisi Temelli Öznitelik Seçimi
(Institute of Electrical and Electronics Engineers Inc., 2019)
Parkinson's disease can be diagnosed by the speech signals. In general, the data obtained by feature extraction algorithms from the speech signals are used in any classification algorithm. Some of the extracted features ...
Makine Öğrenmesini Kullanarak Solunum Sesinin Analizinin Değerlendirilmesi
(Institute of Electrical and Electronics Engineers Inc., 2017)
Solunum seslerinin oskültasyonu, pulmoner
bozukluklar ve bazı kardiyak bozuklukların teşhisi için
göğüs ve sırttan dinlenen sesler için kullanılan ucuz ve etkili bir yöntemdir. Günümüzde bilgisayar destekli analiz ve ...
Determination of window size and sliding interval for EMG signals by using genetic algorithm
(Institute of Electrical and Electronics Engineers Inc., 2019)
The selection of window size and sliding interval are one of the important problems encountered in Electromyography (EMG) signal processing. However, there exist a few methods to determine the window size and sliding ...
Channel selection from EEG signals and application of support vector machine on EEG data
(Institute of Electrical and Electronics Engineers Inc., 2017)
In this study, EEG data recorded during mental arithmetic operations and silent reading were analyzed by discrete wavelet transform and feature vectors were obtained. The obtained feature vectors are classified by Support ...