Now showing items 1-5 of 5
A novel hybrid approach for sentiment classification of Turkish tweets for GSM operators
(North Atlantic University Union, 2018)
The increase in the amount of content shared on social media makes it difficult to extract meaningful information from scientific studies. Accordingly, in recent years, researchers have been working extensively on sentiment ...
Effect of brightness of visual stimuli on EEG signals
The aim of this study was to examine brightness effect, which is the perceptual property of visual stimuli, on brain responses obtained during visual processing of these stimuli. For this purpose, brain responses of the ...
RPINBASE: An online toolbox to extract features for predicting RNA-protein interactions
(Academic Press Inc Elsevier Science, 2020)
Feature extraction is one of the most important preprocessing steps in predicting the interactions between RNAs and proteins by applying machine learning approaches. Despite many efforts in this area, still, no suitable ...
Harmonic analysis of steady-state visual evoked potentials in brain computer interfaces
The signals generated in the occipital lobe of the brain, as a result of visual stimuli flickering at a certain frequency, are called steady-state visual evoked potentials (SSVEPs). Spectral properties of the SSVEPs are ...
The effect of recording site on extracted features of motor unit action potential
Motor unit action potential (MUAP), which consists of individual muscle fiber action potentials (MFAPs), represents the electrical activity of the motor unit. The values of the MUAP features are changed by denervation and ...