Several imaging modalities and many signal recording techniques have been used to study
the brain activities. Significant advancements in medical device technologies like …

Electroencephalography (EEG) data serve as a reliable method for fatigue detection due to
their intuitive representation of drivers' mental processes. However, existing research on …

This article proposes a novel energy management structure for electric vehicles, consisting
of a supercapacitor and two types of batteries, to improve efficiency and navigable distance …

Frequency control, especially when incorporating distributed generation units such as wind
and solar power plants, is crucial for maintaining grid stability. To address this issue, a study …

Monitoring the psychophysical conditions of drivers is crucial for ensuring road safety.
However, achieving real-time monitoring within a vehicle presents significant challenges …

Leukemia is a malignant disease that impacts explicitly the blood cells, leading to life-
threatening infections and premature mortality. State-of-the-art machine-enabled …

This study found that the electroencephalogram (EEG) information is a prior indication for
sensing drivers' imminent actions. It is possible to get to know the drivers' intentions before …

Dry electrodes used for electroencephalography (EEG) signals acquisition are of good
portability. However, the large impedance of the dry electrode often results in poor signal …

Aim The lack of concentration is one of the primary causes of traffic accidents. Decoding
attention states provides a way to monitor drivers' attention, thereby preventing tragedies …

Driver fatigue detection is increasingly recognized as critical for enhancing road safety. This
study introduces a method for detecting driver fatigue using the SEED-VIG dataset, a well …