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Application of Deep Neural Networks for Disease Diagnosis Through Medical Data Sets
(Springer Science and Business Media Deutschland GmbH, 2019)
In this chapter, a novel classification methodology for medical disease diagnosis is proposed. The proposed classification operator comprises a stacked autoencoder network cascaded with a softmax layer. The classifier is ...
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 ...
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 ...
EMG Sinyalleri İçin Hibrid Öznitelik Çıkarma Yöntemi Geliştirilmesi
(Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 2019)
Bu çalışmada EMG sinyalleri kullanılarak 14 farklı parmak hareketi önerilen yeni bir öznitelik çıkarma yöntemiyle sınıflandırılmıştır. EMG sinyallerinden parmak hareketlerinin tespiti / sınıflandırılması, ön işleme, özellik ...