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In place of traditional empirical methodologies, computational fluid dynamics (CFD) is used for more accurate consequence modelling as it takes into account of geometrical obstructions.
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Secondly, based on this methodology, computational experiments are carried out, which result in a set of managerial guidelines for incentive contract design.
A number of methodologies and computational programs have been developed to integrate selected proteins into the knowledge-based networks via the combination of genomics, proteomics and bioinformatics[14].
In the current study we use the complimentary methodologies of computational cognitive modeling and neuroimaging to investigate the neural correlates of this problem state bottleneck.
In this new context, early risk assessment, using developability methodologies and computational methods in particular, can assist in reducing risks during development in a cost-effective way.
The receive operating characteristic (ROC) methodology is a computational methodology which has a very important connection to the neural network applied to classification applications[ 27].
This methodology is computational efficient.
This methodology reduces computational costs without loss of accuracy.
The model reduction methodology of computational singular perturbation (CSP) is enhanced for chemical kinetics problems.
Simulation results of two specific HES configurations illustrate the proposed methodology and computational capability.
In addition, the resulting methodology provides computational efficiency and scalability to massively parallel architectures.
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