As a relatively new field of neurology and computer science, brain computer interface (BCI)
has many established and burgeoning applications across scientific disciplines. Many …

The application of artificial intelligence (AI) technologies in assisting human
electroencephalogram (EEG) analysis has become an active scientific field. This study aims …

Functional near-infrared spectroscopy (fNIRS) has attracted increasing attention in the field
of brain–computer interfaces (BCIs) owing to their advantages such as non-invasiveness …

The feasibility of the random subspace ensemble learning method was explored to improve
the performance of functional near-infrared spectroscopy-based brain-computer interfaces …

Non-invasive cerebral neuromodulation technologies are essential for the reorganization of
cerebral neural networks, which have been widely applied in the field of central neurological …

Many feature selection methods have been evaluated in functional near-infrared
spectroscopy (fNIRS)-related studies. The local interpretable model-agnostic explanation …

The structural features of precooked noodles during refrigerated storage were non-
destructively characterized using hyperspectral imaging (HSI) technology along with …

Brain-Computer-Interface systems were invented in the last decade to record brain signals
and then control a system that behaves and conveys with a biosignal recording device and …

Brain-computer interface systems with Electroencephalogram (EEG), especially those use
motor-imagery (MI) signals, have demonstrated the ability to control electromechanical …

Significance: Cerebral oxygenation changes in the superior, middle, and medial gyri were
used to elucidate spatial impairments of autonomic hemodynamic recovery during the head …