The simulation of large–scale multicast networks often requires a significant amount of memory that can easily exceed the capacity of current computers, both because of the inh...
Donghua Xu, George F. Riley, Mostafa H. Ammar, Ric...
Abstract. A well-known discrete approach to modeling biological regulatory networks is the logical framework developed by R. Thomas. The network structure is captured in an interac...
Computation without stable states is a computing paradigm different from Turing's and has been demonstrated for various types of simulated neural networks. This publication t...
: This study presents a novel network methodology to identify prognostic gene signatures. Implication networks based on prediction logic are used to construct genome-wide coexpress...
Nancy Lan Guo, Ying-Wooi Wan, Swetha Bose, James D...
— In this paper, we present an analytical TCP model that takes into account of several issues that were ignored in the other existing models (such as those in [15], [19]), i.e., ...