The electroencephalography (EEG) signal is a noninvasive and complex signal that has
numerous applications in biomedical fields, including sleep and the brain–computer …

In recent years, brain-based technologies that capitalise on human abilities to facilitate
human–system/robot interactions have been actively explored, especially in brain robotics …

Patients with severe CNS injuries struggle primarily with their sensorimotor function and
communication with the outside world. There is an urgent need for advanced neural …

The significance of deep learning techniques in relation to steady‐state visually evoked
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …

Fueled by the recent proliferation of energy-efficient and energy-autonomous or self-
powered nanotechnology-based wearable smart systems, human motion intention …

Abstract Brain–computer interface (BCI), an emerging technology that facilitates
communication between brain and computer, has attracted a great deal of research in recent …

The growing interest in the Metaverse has generated momentum for members of academia
and industry to innovate toward realizing the Metaverse world. The Metaverse is a unique …

The brain–computer interface (BCI), which provides a new way for humans to directly
communicate with robots without the involvement of the peripheral nervous system, has …

Machine Learning (ML) offers unique and powerful tools for mental health practitioners to
improve evidence-based psychological interventions and diagnoses. Indeed, by detecting …

Industrial Internet of Things (IIoT) and its applications have seen a paradigm shift since the
advent of artificial intelligence and machine learning. However, these methods are mostly …