Now showing items 11-15 of 15
Yukarı-Aşağı imleç hareketlerine ilişkin EEG kayıtlarında en etkin kanalın belirlenmesi
(Dicle Üniversitesi Mühendislik Fakültesi, 2017)
Bu çalışmada, görsel geri besleme alınarak kayıt edilen yukarı-aşağı imleç hareketlerine ilişkin EEG kayıtlarında, en etkin kanalın belirlenmesi amaçlanmıştır. Çalışmada, 2003 yılındaki BCI Competition II yarışmasında ...
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 ...
On a yearly basis prediction of soil water content utilizing sar data: A machine learning and feature selection approach
(Turkiye Klinikleri, 2020)
Soil water content (SWC) performs an important role in many areas including agriculture, drought cases, usage of water resources, hydrology, crop diseases and aerology. However, the measurement of the SWC over large terrains ...
Soil moisture inversion via semiempirical and machine learning methods with full-polarization radarsat-2 and polarimetric target decomposition data: A comparative study
(Institute of Electrical and Electronics Engineers Inc., 2020)
In this article, surface soil moisture was retrieved from Radarsat-2 and polarimetric target decomposition data by using semiempirical models and machine learning methods. The semiempirical models and machine learning ...
Epilepsy detection by using scalogram based convolutional neural network from eeg signals
(MDPI AG, 2019)
The studies implemented with Electroencephalogram (EEG) signals are progressing veryrapidly and brain computer interfaces (BCI) and disease determinations are carried out at certainsuccess rates thanks to new methods ...