Browsing Elektrik Elektronik Mühendisliği Makaleler by Subject "Deep learning"
Now showing items 1-3 of 3
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Analysis of epileptic iEEG data by applying convolutional neural networks to low-frequency scalograms
(IEEE-Institute of Electrical Electronics Engineers INC., 2021)In this paper, Convolutional Neural Networks (CNN) method was applied to low frequency scalograms in order to contribute to the development of diagnostic and early diagnosis systems of epileptic intracranial EEG (iEEG) ... -
Automatic detection and localization of COVID-19 pneumonia using axial computed tomography images and deep convolutional neural networks
(Wiley, 2021)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 ... -
Automatic detection of schizophrenia by applying deep learning over spectrogram images of EEG signals
(International Information and Engineering Technology Association, 2020)This study presents a method that aims to automatically diagnose Schizophrenia (SZ) patients by using EEG recordings. Unlike many literature studies, the proposed method does not manually extract features from EEG recordings, ...
