As the core layer of the Internet of Things (IoT), middleware bridges the gap between
applications and devices to resolve many common IoT issues and enhancing application …

How can humans remain in control of artificial intelligence (AI)-based systems designed to
perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits …

Smart communities have recently gained much attention. Researchers have been trying to
tackle a number of challenges faced by smart communities. Interoperability is one key …

This paper proposes a new method to improve the prediction accuracy of photovoltaic power
generation. By improving the accuracy of photovoltaic generation prediction, the grid can …

Expertise is an activity carried out by experts that contributes to societal progress, as it helps
to elucidate unknown situations. For example, accident expertise eases accident …

Context-aware systems are gaining increasing importance in industry as managing and
using context information opens new opportunities for reconfiguration, digital twin concepts …

Context modeling is often used to relate the context in which a system will operate to the
entities of interest in the problem domain. It remains the case that context models are …

Semantic interoperability is one of the most critical challenges for software developers while
integrating two or more context-aware systems. In such circumstances, it is essential to …

An Ambient Intelligence responds to user requests based on several contexts. A relevant
context is related to what has happened in the ambient; therefore, it focuses a primordial …

Modern services and applications need to react to changes in their context (eg location,
memory consumption, number of users) to improve the user's experience. To obtain this …