Understanding the characteristics of information flow in large scale real-time distributed virtual simulations (RT-DVS) is important for the development of network services that a...
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
A novel algorithm to generate quad- and hex-dominant, semistructured meshes is presented. The algorithm utilizes a three-step, advancing layer scheme to generate the mesh in struc...
Abstract--We study in this paper a TCP-like linear-increase multiplicative-decrease flow control mechanism. We consider congestion signals that arrive in batches according to a Poi...
Eitan Altman, Konstantin Avrachenkov, Chadi Baraka...