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FCS
2009
15 years 4 months ago
Spectral Analysis of Attractors in Random Boolean Network Models
Circuits and loops in graph systems can be used to model the attractors in gene-regulatory networks. The number of such attractors grows very rapidly with network size and even fo...
Kenneth A. Hawick
EIS
2011
253views ECommerce» more  EIS 2011»
15 years 1 months ago
A modelling and reasoning framework for social networks policies
Policy languages (such as privacy and rights) have had little impact on the wider community. Now that Social Networks have taken off, the need to revisit Policy languages and real...
Guido Governatori, Renato Iannella
BMCBI
2007
164views more  BMCBI 2007»
15 years 6 months ago
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
Peng Li, Chaoyang Zhang, Edward J. Perkins, Ping G...
ISCAS
2003
IEEE
110views Hardware» more  ISCAS 2003»
16 years 10 hour ago
Interconnect modeling and sensitivity analysis using adjoint networks reduction technique
An efficient model-order reduction technique for general RLC networks is proposed. The method is extended from the previous projection-base moment matching method with considerin...
Herng-Jer Lee, Chia-Chi Chu, Wu-Shiung Feng
CONEXT
2008
ACM
15 years 7 months ago
A probabilistic model of k-coverage in minimum cost wireless sensor networks
One of the fundamental problems in the wireless sensor networks is the coverage problem. The coverage problem fundamentally address the quality of service (surveillance or monitor...
S. Ali Raza Zaidi, Maryam Hafeez, Desmond C. McLer...