Collaborative distance learning involves a variety of elements and factors that have to be considered and measured in order to analyse and assess group and individual performance m...
When evaluating quantitative aspects of communication networks using simulation, one of the main difficulties to face is the often considerable computing power required. In some s...
Traditional Machine Learning approaches based on single inference mechanisms have reached their limits. This causes the need for a framework that integrates approaches based on aba...
Grid computing involves the transparent sharing of computational resources of many types by users across large geographic distances. The altruistic nature of many current grid reso...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...
Abstract Business performance modeling and model-driven business transformation are two research directions that are attracting much attention lately. In this study, we propose an ...
Themis Palpanas, Pawan Chowdhary, George A. Mihail...