In this paper we address the problem of reducing the energy consumption in distributed embedded systems associated with time-constraints and equipped with fault-tolerant technique...
We introduce a metaheuristic framework for combinatorial optimization. Our framework is similar to others (e.g. [1]) in that it is modular enough that important components can be i...
Speaker identification is a computationally expensive task. In this work, we propose an iterative speaker pruning algorithm for speeding up the identification in the context of rea...
In rough set theory, the problem of feature selection aims to retain the discriminatory power of original features. Many feature selection algorithms have been proposed, however, q...
In a real-time system, tasks are constrained by global endto-end (E-T-E) deadlines. In order to cater for high task schedulability, these deadlines must be distributed over compon...