Background: Ambiguities and anomalies in the Activity of Daily Living (ADL) patterns indicate
deviations from Wellness. The monitoring of lifestyles could facilitate remote physicians or …

A growing number of advanced smart systems and solutions are being designed for the
elderly, helping them to live longer at home. These systems need to provide unobtrusive …

Objective: Classification of sleep-wake states using multichannel electroencephalography (EEG)
data that reliably work for neonates. Methods: A deep multilayer perceptron (MLP) …

Sleep is a natural phenomenon controlled by the central nervous system. The sleep-wake
pattern, which functions as an essential indicator of neurophysiological organization in the …

The proposed research methodology aims to design a generally implementable framework
for providing a house owner/member with the immediate notification of an ongoing theft (…

Tactile sensors are among the most important devices used in industrial and biomedical
fields. Sensors’ profiles are significantly affected by their structures and material used. This …

In recent times, with the advancement of digital imaging, automatic facial recognition has been
intensively studied for adults, while less for neonates. Due to the miniature facial structure …

Objective In this paper, we propose to evaluate the use of pre-trained convolutional neural
networks (CNNs) as a features extractor followed by the Principal Component Analysis (PCA) …

Akbarzadeh and Saeed explore one of the most challenging issues facing the Muslim world:
the Islamisation of political power. They present a comparative analysis of Muslim societies …

Due to the lack of enough physical or suck central pattern generator (SCPG) development,
premature infants require assistance in improving their sucking skills as one of the first …