Abstract. In this paper, a novel architecture dedicated to image processing is presented. The most original aspect of the approach is the use of a System On Chip implemented in a F...
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Advanced molecular nanotechnology devices are expected to have exceedingly high transient fault rates and large numbers of inherent device defects compared to conventional CMOS de...
A. J. KleinOsowski, Kevin KleinOsowski, Vijay Rang...
The use of bagging is explored to create an ensemble of fuzzy classifiers. The learning algorithm used was ANFIS (Adaptive Neuro-Fuzzy Inference Systems). We compare results from b...
Juana Canul-Reich, Larry Shoemaker, Lawrence O. Ha...
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...