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» Modelling of Complex Supply Networks
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178
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GLOBECOM
2010
IEEE
15 years 1 months ago
Cognitive Network Inference through Bayesian Network Analysis
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...
Giorgio Quer, Hemanth Meenakshisundaram, Tamma Bhe...
155
Voted
JCB
2006
185views more  JCB 2006»
15 years 3 months ago
A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
118
Voted
CORR
2010
Springer
127views Education» more  CORR 2010»
15 years 2 months ago
Learning Networks of Stochastic Differential Equations
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
José Bento, Morteza Ibrahimi, Andrea Montan...
114
Voted
CN
2002
102views more  CN 2002»
15 years 3 months ago
On the impact of soft handoff in cellular systems
We present a model for soft handoff in wireless cellular networks. In such networks, due to overlapping cells, handoffs are not instantaneous and multiple channels may be occupied...
Nidhi Hegde, Khosrow Sohraby
139
Voted
WSC
1997
15 years 5 months ago
Simulation of Modern Parallel Systems: A CSIM-based Approach
Components of modern parallel systems are becoming quite complex with many features and variations. An integrated modeling of these components (interconnection network, messaging ...
Dhabaleswar K. Panda, Debashis Basak, Donglai Dai,...