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The first implementation described used a shared memory biprocessor with hyperthreading (i.e., four virtual processors).
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An efficient recursive architecture for such implementation is described using Laguerre filters.
Both aspects of design and implementation of the algorithm are described using simulations on the ns-2 network simulator.
Models are described using an implementation of NeuroML [ 27].
Data from the initial implementation of these tools are described using descriptive statistics.
Outline of the possible implementation of the Bayesian method is described using the general reversible-jump Markov chain Monte Carlo algorithm.
Exchange correlation was described using the generalized gradient approximation in the Perdew–Burke Ernzerhof implementation.
An expert on immunisation policy and implementation described it using the following words: Polio campaign is like a war.
Running Fourier-ICA We used the implementation described in [33] to run Fourier-ICA with the default parameters.
From now on we will use the term "Entity" as alias for a hypothetical authoring tool that uses the implementation described in this paper.
The adaptation layer implementation described here mainly consists in using triggers to emulate contact opportunities.
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