Deep learning is a wildly popular topic in machine learning and is structured as a series of
nonlinear layers that learns various levels of data representations. Deep learning employs …

Brain signals refer to the biometric information collected from the human brain. The research
on brain signals aims to discover the underlying neurological or physical status of the …

New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

A seizure is an unstable situation in epilepsy patients due to excessive electrical discharge
by brain cells. An efficient seizure prediction method is required to reduce the lifetime risk of …

Brain-Computer Interface (BCI) bridges human's neural world and the outer physical world
by decoding individuals' brain signals into commands recognizable by computer devices …

Electroencephalography (EEG) is another method for performing person identification (PI).
Due to the nature of the EEG signals, EEG-based PI is typically done while a person is …

Abstract Internet of Things (IoT) and Artificial Intelligence (AI) play a vital role in the
upcoming years to improve the assistance systems. The IoT devices utilize several sensor …

An important subfield of brain–computer interface is the classification of motor imagery (MI)
signals where a presumed action, for example, imagining the hands' motions, is mentally …

Ensemble learning uses multiple algorithms to obtain better predictive performance than any
single one of its constituent algorithms could. With the growing popularity of deep learning …

Blockchain technology has been growing at a substantial growth rate over the last decade.
Introduced as the backbone of cryptocurrencies such as Bitcoin, it soon found its application …