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» Quantifying robustness of biochemical network models
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BMCBI
2010
123views more  BMCBI 2010»
13 years 5 months ago
Computationally efficient flux variability analysis
Background: Flux variability analysis is often used to determine robustness of metabolic models in various simulation conditions. However, its use has been somehow limited by the ...
Steinn Gudmundsson, Ines Thiele
EMS
2009
IEEE
14 years 15 days ago
Modelling Periodic Data Dissemination in Wireless Sensor Networks
—Epidemic-based communications, or “gossiping”, provides a robust and scalable method for maintaining a knowledge base in a sensor network faced with an unpredictable network...
Graham Williamson, Davide Cellai, Simon A. Dobson,...
TWC
2010
13 years 13 days ago
Robustness analysis and new hybrid algorithm of wideband source localization for acoustic sensor networks
Wideband source localization using acoustic sensor networks has been drawing a lot of research interest recently in wireless communication applications, such as cellular handset lo...
Kun Yan, Hsiao-Chun Wu, S. Sitharama Iyengar
BMCBI
2007
179views more  BMCBI 2007»
13 years 5 months ago
Automated smoother for the numerical decoupling of dynamics models
Background: Structure identification of dynamic models for complex biological systems is the cornerstone of their reverse engineering. Biochemical Systems Theory (BST) offers a pa...
Marco Vilela, Carlos Cristiano H. Borges, Susana V...
JSAC
2010
146views more  JSAC 2010»
13 years 16 days ago
NLOS identification and mitigation for localization based on UWB experimental data
Abstract--Sensor networks can benefit greatly from locationawareness, since it allows information gathered by the sensors to be tied to their physical locations. Ultra-wide bandwid...
Stefano Maranò, Wesley M. Gifford, Henk Wym...