Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
In this paper, I describe MRDCOM, a mobile reverse-demand communication system for the pizza industry. The web-based system will support student (buyer) sign-up and will be capabl...
Abstract- This paper presents a new operator for genetic algorithms that enhances their convergence in the case of nonlinear problems with nonlinear equality constraints. The propo...
Reactive real-time systems have to react to external events within time constraints: Triggered tasks must execute within deadlines. The goal of this article is to automate, based ...
Multiplicative general parameter (MGP) approach to finite impulse response (FIR) filtering introduces a novel way to realize cost effective adaptive filters in compact very large s...