Resource-intensive and complex medical imaging applications can benefit from the use of scientific workflow technology for their design, rapid implementation and reuse, but at the...
Ketan Maheshwari, Carole A. Goble, Paolo Missier, ...
Multiagent probabilistic reasoning with multiply sectioned Bayesian networks requires interfacing agent subnets (the modeling task) subject to a set of conditions. To specify the ...
The Sesame modeling and simulation framework aims at efficient system-level design space exploration of embedded multimedia systems. A primary objective of Sesame is the ion at mu...
Mark Thompson, Andy D. Pimentel, Simon Polstra, Ca...
The importance of early performance assessment grows as software systems increase in terms of size, logical distribution and interaction complexity. Lack of time from the side of ...
We present a first approach that combines the mobile agent and the compositional paradigms into a new agent-based compositional model. The aim of this work is to explore the capabi...