Abstract—We present a framework for throughput optimization for multipath unicast routing in wireless networks in the presence of probabilistic jamming. The framework introduces ...
Patrick Tague, Sidharth Nabar, James A. Ritcey, Da...
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
Previous work on context-specific independence in Bayesian networks is driven by a common goal, namely to represent the conditional probability tables in a most compact way. In th...
Due to the growing interest in mobile wireless Ad-Hoc networks’ (MANETs) applications, researchers have proposed many routing protocols that differ in their objective. Energy ef...
Wasim El-Hajj, Dionysios Kountanis, Ala I. Al-Fuqa...
In this study, we propose the use of specialized influence models to capture the dynamic behavior of a Network-onChip (NoC). Our goal is to construct a versatile modeling framewor...