Now showing items 1-5 of 5
A classification approach for focal/non-focal EEG detection using cepstral analysis
(Dicle Üniversitesi Mühendislik Fakültesi, 2021)
Electroencephalogram (EEG) is a convenient neuroimaging technique due to its non-invasive setup, practical usage, and high temporal resolution. EEG allows to detect brain electrical activity to diagnose neurological ...
The convolutional neural network approach from electroencephalogram signals in emotional detection
Although brain-computer interfaces (BCI) progress rapidly, the desired success has not been achieved yet. One of these BCI is to detect emotional states in humans. An emotional state is a brain activity consisting of ...
Automatic detection and localization of COVID-19 pneumonia using axial computed tomography images and deep convolutional neural networks
COVID-19 was first reported as an unknown group of pneumonia in Wuhan City, Hubei province of China in late December of 2019. The rapid increase in the number of cases diagnosed with COVID-19 and the lack of experienced ...
Derin transfer öğrenimi yaklaşımı ile kamusal alanda medikal maske kullanımının otomatik kontrolü
(Bingöl Üniversitesi Fen Bilimleri Enstitüsü, 2021)
Uluslararası kamu sağlığı acil durumu olan COVID-19 hastalığının başlıca bulaşma yolları, solunum damlacıkları ve fiziksel temastır. Hastalığın yayılımını önlemek ve salgınla mücadele etmenin kapsamlı stratejilerinden biri ...
EEG channel selection using differential evolution algorithm and particle swarm optimization for classification of odorant-stimulated records
(INESEG Yayıncılık, 2021)
A significant advancement has been made in the evolutionary computing and swarm intelligence methods in past decades. These methods have been commonly used to calculate well optimized solutions. Methods select the best ...