Throughout the evolution of software systems, empirical methodologies have been used in
their development process, even in the Internet of Things (IoT) paradigm, to develop IoT …

Abstract The Industrial Internet of Healthcare Things (IIoHT) is the emerging paradigm in
digital healthcare. Context-aware healthcare sensors, local intelligent watches, healthcare …

Critical healthcare application tasks require a real-time response because it affects patients'
life. Fog computing is the best solution to get a fast response and less energy consumption …

Most devices in the Internet of Things (IoT) work on unsafe networks and are constrained by
limited computing, power, and storage resources. Since the existing centralized signature …

The Social Internet of Things (S-IoT) paradigm is focused on topic of the Internet of Things
(IoT), which accelerates the object issues by working with the concept of social networks …

Abstract The Internet of Everything (IoE) based cloud computing is one of the most
prominent areas in the digital big data world. This approach allows efficient infrastructure to …

Ambient assisted technology (AAT), which has the potential to enhance patient care and
productivity and save costs, has emerged as a strategic goal for developing e-healthcare in …

Abstract Internet of Things (IoT) and Artificial Intelligence (AI)-enabled technologies are
essential in developing innovative environments and intelligent applications. IoT and AI …

The current trend in industry is the digitalisation of production processes using modern
information and communication technologies, a trend that falls under the fourth industrial …

Abstract The Internet of Medical Things (IoMT) revolutionizes healthcare, enhances patient
care, and optimizes workflows. However, the integration of IoMT introduces concerns related …