A stochastic model is formulated and analyzed to study the advancements of messages under greedy routing in a sensor network with a power-saving scheme. The aim of this model is g...
Despite the ability of current GPU processors to treat heavy parallel computation tasks, its use for solving medical image segmentation problems is still not fully exploited and re...
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Abstract: Recently, Free and Open Source Software (FOSS) has emerged as an alternative to Commercial-Off-The-Shelf (COTS) software. Now, FOSS is perceived as a viable long-term sol...
Robert Charpentier, Mourad Debbabi, Dima Alhadidi,...