Identifying gene regulatory networks from high-throughput gene expression data is one of the most important goals of bioinformatics, but it remains difficult to define what makes a...
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
In this paper we study the performance improvements and trade-offs derived from an optimized mapping approach applied on a parametric coarse grained reconfigurable array architect...
Grigoris Dimitroulakos, Michalis D. Galanis, Const...
Data rate adaptation is the process to select the optimal data rates for instantaneous channel conditions. This paper proposes a data rate adaptation technique that poses followin...
There exist a wide variety of network design problems that require a traffic matrix as input in order to carry out performance evaluation. The research community has not had at it...