Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
The explosive growth of multimedia and other bandwidth intensive applications has resulted a rapid increase in the size of the traffic loads that needs to be supported by modern n...
A data model is a plan for building a database and is comparable to an architect's building plans. There are two major methodologies used to create a data model: the EntityRe...
Joanne M. Atlee, Robert B. France, Geri Georg, Ana...
As decisions in cardiology increasingly rely on non-invasive methods, fast and precise image processing tools have become a crucial component of the analysis workflow. To the best ...
Razvan Ioan Ionasec, Ingmar Voigt, Bogdan Georgesc...
This paper describes an approach to interoperability in design projects that is based on computational agents customizing the representation of product data to individual design to...