Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …

Background Wearable sleep monitors are of high interest to consumers and researchers
because of their ability to provide estimation of sleep patterns in free-living conditions in a …

Deep neural networks (DNNs) used for brain–computer interface (BCI) classification are
commonly expected to learn general features when trained across a variety of contexts, such …

Despite the rapid progress and interest in brain-machine interfaces that restore motor
function, the performance of prosthetic fingers and limbs has yet to mimic native function …

Abstract Electroencephalography (EEG)-based brain-computer interfaces (BCIs) pose a
challenge for decoding due to their low spatial resolution and signal-to-noise ratio. Typically …

Brain–computer interfaces are used for direct two-way communication between the human
brain and the computer. Brain signals contain valuable information about the mental state …

All people experience aging, and the related physical and health changes, including
changes in memory and brain function. These changes may become debilitating leading to …

Cotton is one of the economically significant agricultural products in Ethiopia, but it is
exposed to different constraints in the leaf area. Mostly, these constraints are identified as …

In this study we provide an in-depth review and analysis of the impact of artificial intelligence
(AI) components and solutions that support the development of cutting-edge assistive …

Paralyzed muscles can be reanimated following spinal cord injury (SCI) using a brain-
computer interface (BCI) to enhance motor function alone. Importantly, the sense of touch is …