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The rigor required for implementation in this framework may best be achieved by contracting out some services to non-Ministry of Health entities.
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Model transformation strategy for formal verification and code automatic generation for implementation in the framework are also presented.
For implementation in the framework of TARDIS, the second-order CABARET scheme of Karabasov and Goloviznin [1] is selected for it provides a good combination of numerical accuracy, computational efficiency and simplicity of realisation.
Model characterization can be performed by means of a simple and reliable measurement procedure and the model analytical representation allows an easy implementation in the framework of commercial available CAD tools for circuit analysis and design.
The implementation of this framework in MATLAB, Java, and PyNN (Python) is presented.
In the implementation of this framework, a genetic algorithms methodology is used for parameter tuning.
Further work is needed to evaluate the implementation of this framework, in terms of barriers to implementation, costs and outcomes to determine its efficacy in improving the quality of care and hence maternal and perinatal morbidity and mortality.
An implementation of this framework is described in the "Implementation of KB map system" section.
The chapter describes the algorithms and data structures used in a DB2-based implementation of this framework.
Proper implementation of this framework can result in safe, reliable and cost effective renewable energy generation since operating cost can be reduced with minimized downtime.
In practical implementations of this framework [3], the energy method is used, in which an energy is defined over the image being decomposed and its components, and is subsequently minimized using the Calculus of Variations.
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