Online shopping platforms attract consumers to purchase by offering discounts or informing
them about the availability of limited quantities of cheaper items during a set time period …

Stress has become a dangerous health problem in our life, especially in student education
journey. Accordingly, previous methods have been conducted to detect mental stress based …

The most common neurological brain issue is Alzheimer's disease, which can be diagnosed
using a variety of clinical methods. However, the electroencephalogram (EEG) is shown to …

The quality and quantity of training data are crucial to the performance of a deep-learning-
based brain-computer interface (BCI) system. However, it is not practical to record EEG data …

This paper explores two methodologies for drowsiness detection using EEG signals in a
sustained-attention driving task considering pre-event time windows, and focusing on cross …

Brain–computer interfaces (BCI) can extract information about the subject's intentions by
registering and processing electroencephalographic (EEG) signals to generate actions on …

Robotics has been successfully applied in the design of collaborative robots for assistance
to people with motor disabilities. However, man-machine interaction is difficult for those who …

Alzheimer's disease (AD) is the most prevalent clinically diagnosed neurodegenerative
disorder. Early detection of mild cognitive impairment (MCI) is crucial for implementing …

Rapid Serial Visual Presentation (RSVP)-based Brain-Computer Interface (BCI) is an
efficient information detection technology by detecting event-related brain responses evoked …

Brain–computer Interface (BCI) is actively involved in optimizing the communication medium
between the human brain and external devices. Objective. Rapid serial visual presentation …