The classification in class imbalanced data has drawn significant interest in medical
application. Most existing methods are prone to categorize the samples into the majority …

BCI systems provide a direct communication channel between the human and the machine
using brain signals. Among the various methods of steady-state visual evoked potential …

Mixture of Experts is one of the most popular ensemble methods in pattern recognition
systems. Although, diversity between the experts is one of the necessary conditions for the …

Brain-computer interface (BCI) systems can be used to communicate and express desires
from people with severe nervous system damage. Among BCI systems based on evoked …

Human emotion classification has been an attractive research area in the field of data
mining. Several research works have been carried out for investigating the classification …

Motor Imagery Brain-Computer Interfaces (MI BCIs) face challenges due to artifacts in
electroencephalogram (EEG) signals, hindering accurate decoding of imagined movements …

This research offers two innovative techniques to improve electroencephalography (EEG)-
based brain-computer interfaces (BCIs). The first technique, called Four-Class Iterative …

According to the researches, it turns out that human's activities are the results of the internal-
neural activities of their brain. The reflection of such activities which are propagated …

Recognition of mental tasks using electroencephalograph (EEG) signals is of prime
importance in man machine interface and assistive technologies. Considerably low …

With recent advances in Electroencephalogram (EEG) signal processing and biomedical
instrumentation, brain machine interfaces are used for rehabilitation of people suffering from …