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» Hybrid Modeling and Simulation of Biomolecular Networks
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AINA
2007
IEEE
14 years 2 months ago
How to Study Wireless Mesh Networks: A hybrid Testbed Approach
— Simulation is the most famous way to study wireless an mobile networks since they offer a convenient combination of flexibility and controllability. However, their largest dis...
Alexander Zimmermann, Mesut Günes, Martin Wen...
IPCCC
2005
IEEE
14 years 1 months ago
Performance evaluations for hybrid IEEE 802.11b and 802.11g wireless networks
The IEEE 802.11g standard has been proposed to enhance the data rate of wireless LAN connections up to 54Mbps, while ensuring backward compatibility with legacy 802.11b devices at...
Shao-Cheng Wang, Y.-M. Chen, Tsern-Huei Lee, Ahmed...
CONTEXT
2001
Springer
14 years 3 days ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
BMCBI
2007
157views more  BMCBI 2007»
13 years 7 months ago
A hybrid multiscale Monte Carlo algorithm (HyMSMC) to cope with disparity in time scales and species populations in intracellula
Background: The fundamental role that intrinsic stochasticity plays in cellular functions has been shown via numerous computational and experimental studies. In the face of such e...
Asawari Samant, Babatunde A. Ogunnaike, Dionisios ...
CIDM
2009
IEEE
14 years 2 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...