Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …

Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …

The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

Background Artificial intelligence (AI)-based medical devices and digital health
technologies, including medical sensors, wearable health trackers, telemedicine, mobile …

There are more than 962 million people aged 60 and up globally. Physical activity declines
as people get older, as does their capacity to undertake everyday tasks, effecting both …

In the field of machine intelligence and ubiquitous computing, there has been a growing
interest in human activity recognition using wearable sensors. Over the past few decades …

The state of the art in violence detection in videos has improved in recent years thanks to
deep learning models, but it is still below 90% of average precision in the most complex …

Machine learning and digital health sensing data have led to numerous research
achievements aimed at improving digital health technology. However, using machine …

Human activity recognition (HAR) using wearable sensors enables continuous monitoring
for healthcare applications. However, the conventional centralised training of deep learning …

Feature importance evaluation is one of the prevalent approaches to interpreting Machine
Learning (ML) models. A drawback of using these methods for high-dimensional datasets is …