Exam proctoring is a hectic task ie, the monitoring of students' activities becomes difficult for
supervisors in the examination rooms. It is a costly approach that requires much labor. Also …

Many video classification applications require access to personal data, thereby posing an
invasive security risk to the users' privacy. We propose a privacy-preserving implementation …

Newborn mortality is a global challenge with around 2.4 million neonatal deaths in 2019.
One third of these occur within the first-and-only day of life with labour complications and …

In recent years, human activity recognition (HAR) has gained importance in several domains
such as surveillance, recognizing indoor and outdoor activities, and providing active and …

Abstract Background Approximately 3-8% of all newborns do not breathe spontaneously at
birth, and require time critical resuscitation. Resuscitation guidelines are mostly based on …

Vision graph neural network-based neonatal identification to avoid swapping and abduction
Page 1 AIMS Mathematics, 8(9): 21554–21571. DOI: 10.3934/math.20231098 Received: 10 …

Objective This study aims to assess the acceptability of a novel technology, MAchine
Learning Application (MALA), among the mothers of newborns who required resuscitation …

A continuous real-time video monitoring for preterm infants that suffer from fragile condition
attracts increasing attention due to its significance in the early screening of diseases …

Stroke is the second leading cause of death worldwide, and around 87% of strokes are
ischemic strokes. Accurate and rapid prediction techniques for identifying ischemic regions …

Time is a fundamental factor during stroke treatments. A fast, automatic approach that
segments the ischemic regions helps treatment decisions. In clinical use today, a set of color …