In this paper, an efficient implementation of a high performance coarse-grain reconfigurable data-path on a mixed-granularity reconfigurable platform is presented. It consists of ...
Michalis D. Galanis, George Theodoridis, Spyros Tr...
Location estimation is an important part of many ubiquitous computing systems. Particle filters are simulation-based probabilistic approximations which the robotics community has ...
Abstract. This paper derives an optimization-based control methodology for networks of switched and hybrid systems in which each mode is governed by a partial differential equatio...
Alexandre M. Bayen, Robin L. Raffard, Claire Tomli...
Abstract. The support vector machine (SVM) constitutes one of the most successful current learning algorithms with excellent classification accuracy in large real-life problems an...
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...