The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …

Nowadays, analyzing and interpreting emotions through human speech communication
have drawn a great attention in the field of human-computer interaction. Therefore, many …

Attention deficit hyperactivity disorder (ADHD) is one of the major psychiatric and
neurodevelopment disorders worldwide. Electroencephalography (EEG) signal-based …

To reduce the dimensionality of EEG features and improve classification accuracy, we
propose an improved hybrid feature selection method for EEG feature selection. First, MIC is …

Mental stress has become one of the major reasons for the failure of students or their poor
performance in the traditional limited-duration examination system. In this study, we aim to …

Human brain activities—electroencephalogram (EEG) signals—are likely to provide a
secure biometric approach for user identification because they are more sensitive, secretive …

Federated Learning (FL) is a type of Machine Learning (ML) technique in which only learned
models are stored on a server to sustain data security. The approach does not gather server …

In this technological era, as the need for security arises, the use of biometrics is increasing in
authentication systems as a secure and convenient method of human identification and …

Electroencephalography (EEG) is the record of electrogram of the electrical activity on the
scalp typically using non-invasive electrodes. In recent years, many studies started using …

Electroencephalography (EEG) has emerged as a primary non-invasive and mobile
modality for understanding the complex workings of the human brain, providing invaluable …