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Two network-based machine learning models, a Bayesian network and a neural network, are formulated with a double star framework that reflects time and space correlation among traffic variables and because of its modular structure is suitable for an automatic implementation on large road networks.
WJL provided natural language processing support and helped optimise the code for fast implementation on large databases.
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The main purpose of this model is to simulate the complex phenomena involved in a detailed yet simple way, appropriate for implementation on large-scale, real structures.
The considered control design is also motivated by the need for efficient controller computation that will allow implementations on large wind farms.
Little has been published, however, on successful implementation of large scale innovations like this in a children's hospital, let alone one guided by the Pronovost-model.
This is particularly true in relation to implementation research on large programmes within health services, in some of which alcohol interventions are integrated within other health-care needs, and referral is again becoming more prominent in brief interventions 70, 71, 74– 81.
Included are overviews and recent descriptions of algorithmic work in long-time integration for molecular dynamics; fast electrostatic evaluation; crystallographic refinement approaches; and implementation of large, computation-intensive programs on modern architectures.
This paper describes a software prototype based on the proposed architecture and presents the results of its implementation on a large archive of student papers.
The experimentation is carried out using the NDN software router implementation on a large grid infrastructure deployed to enable experimental research.
In situ experimental results from implementation on four large cooling systems of different designs, sizes and requirements are considered to investigate the potential for such energy management tools.
The approach has shown positive indications regarding its feasibility in a small pilot, but its implementation on a large scale had not hitherto been investigated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com