Sensitivity analysis of Markovian models amounts to computing the constants in polynomial functions of a parameter under study. To handle the computational complexity involved, we...
Constraint-based techniques are frequently used in solving real-life scheduling problems thanks to natural modeling capabilities and strong constraint propagation techniques encod...
Different research studies have proved that emotions meet a pivotal role in cognitive processes and in particular the studies made by Damasio who argues that human-beings without ...
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. We present a novel application of ...
In this paper, we describe an approach to modelling contextaware systems starting on the knowledge level. We make use of ideas from Activity Theory to structure the general contex...
When knowledge systems are deployed into a real-world application, then the maintenance and the refinement of the knowledge are essential tasks. Many existing automatic knowledge ...
This paper considers a robot with multiple sensors navigating an unknown, heterogeneous environment. In these cases sensor errors may produce an unsuitable model of the world. For...
In this article, we are presenting a semantic annotation tool for Arabic texts with a strategy adapted to the automatic location of reported information. The method used is that o...
Motasem Alrahabi, Amr Helmy Ibrahim, Jean-Pierre D...
In this paper we present an automated method for classifying astronomical objects in multispectral wide-field images. The method is divided into three main tasks. The first one co...