In general, data and information fusion can provide enhancement to the outcomes of
processes for solving various application problems. Some advantages of carrying out DIF …

Current advances in technology, sensor collection, data storage, and data distribution have
afforded more complex, distributed, and operational information fusion systems (IFSs). IFSs …

The concepts of event and anomaly are important building blocks for develo** a
situational picture of the observed environment. We here relate these concepts to the JDL …

For many operational information fusion systems, both reliability and credibility are
evaluation criteria for collected information. The Uncertainty Representation and Reasoning …

Considering that the world population is aging, health-support issues are in evidence, and
many dangerous situations concerning users in their living environment may arise. This …

The advent of streaming feeds of full-motion video (FMV) and wide-area motion imagery
(WAMI) have overloaded an image analyst's capacity to detect patterns, movements, and …

Uncertainty management is a key aspect of any information fusion (IF) system. Evaluation of
how uncertainty is dealt with within a given IF system is distinct from, although closely …

This paper describes an application of multi-criteria decision making (MCDM) for multi-
modal fusion of features in a 3D face recognition system. A decision making process is …

Situational awareness and prediction are essential elements of information fusion. Both
involve various types of uncertainty and require a sound automated inferential process …

Recent advances in cloud computing pose interesting capabilities for information fusion
which have similar requirements of big data computations. With a cloud enabled …