Edge intelligence capability is expected to enable the development of a new paradigm
integrated with edge computing and artificial intelligence. However, due to the multisource …

Using multi-source sensing data based on the Internet of Things (IoT) with artificial
intelligence and big data processing technology to achieve predictive maintenance of …

This survey aims to provide a comprehensive status of recent and current research on
context-based Information Fusion (IF) systems, tracing back the roots of the original thinking …

AI is related to information fusion (IF). Many methods in AI that use perception and reasoning
align to the functionalities of high-level IF (HLIF) operations that estimate situational and …

Adaptive context assessment and context management (CACM) methods opportunistically
exploit non-traditional data sources to improve the robustness of information fusion systems …

Robotics systems need to be robust and adaptable to multiple operational conditions, in
order to be deployable in different application domains. Contextual knowledge can be used …

Context has received significant attention in recent years within the Information Fusion
community as it can bring several advantages to information fusion processing by allowing …

Over the last decade, there has been interest in presenting information fusion solutions to
the user and ways to incorporate visualization, interaction, and command and control. In this …

Driven by the underlying need for a yet to be developed framework for fusing heterogeneous
data and information at different semantic levels coming from both sensory and human …

This chapter attempts to cover two topics which themselves are complex and
multidisciplinary: the concept of “Context” and the concept of “Information Fusion”, both of …