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These parameters can visualise the weakest step in the analytical method and enable methods based on different techniques to be compared.
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The need to describe impulsive data, coupled with computational advances that enable efficient processing methods based on models more complex than the traditional Gaussian distribution has thus led to the interest in heavy-tailed models.
This approach of analysing metabolism as a single network allows a global view of functional processes, which was enabled by metabolic reconstruction methods based on genomic data [ 33- 37].
Recent advances in neuroimaging and computing have enabled the development of such methods based on functional MRI-based measures of regional brain activation (Cox et al., 1995).
The proposed meta-models incorporate a three-layered advantage over the conventional ones, which are, global refinement of the basis functions, enabled with compressive sampling based methods based on ℓ0- and ℓ1-norms (p-adaptivity) and integrated with an optimal sequential experimental design scheme (h-adaptivity).
Methods based on radioactive tracers enable visualisation to be performed on real processes taking place within opaque walls.
Probabilistic methods based on multiple simulations enable the calculation of upper and lower bounds for the model response, which we refer to as confidence bounds.
Methods based on coalescent theory enable estimation of both current and past population sizes directly from genetic data.
In this paper we will describe methods based on intensity differences and quotients that enable x to be refined along with all other parameters.
To potentially enable a complete and total protection of the city as a strategic plan through authorized methods based on the current decree. .
To potentially enable a complete and total protection of the city as a strategic plan through authorized methods based on the current decree.
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