There has been an increasing interest in translating artificial intelligence (AI) research into
clinically-validated applications to improve the performance, capacity, and efficacy of …

As the globally increasing population drives rapid urbanization in various parts of the world,
there is a great need to deliberate on the future of the cities worth living. In particular, as …

Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …

Nowadays, blockchain technology is one of the advanced technologies to ensure the
security of users' sensitive or confidential data. Blockchain technology plays a vital role in …

Recent advancements in computing systems and wireless communications have made
healthcare systems more efficient than before. Modern healthcare devices can monitor and …

Abstract The Internet of Medical Things (IoMT) allows the collection of physiological data
using sensors, then their transmission to remote servers, permitting physicians and health …

Machine Learning (ML) models are susceptible to adversarial samples that appear as
normal samples but have some imperceptible noise added to them with the intention of …

Blockchain technology provides a secure and reliable platform for managing data in various
application areas, such as supply chain management, multimedia, financial sector, food …

As technology becomes more widely available, millions of users worldwide have installed
some form of smart device in their homes or workplaces. These devices are often off-the …

The increasing availability of large collections of electronic health record (EHR) data and
unprecedented technical advances in deep learning (DL) have sparked a surge of research …