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Special care has been taken to provide a discretization of the boundary data which is completely compatible with the underlying finite-difference scheme.
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Therefore, receiver should locate beyond these blind zones in the right boundary to obtain time of flight data which is used to reconstruct the solid/liquid interface.
Considering consistency, the same set of ground truth data which is produced by labeling the building boundaries in the GIS environment is used for accuracy assessment.
Two very different approaches have been used to analyze such data, which is typically preprocessed into genomic segments with boundaries derived from the data signal.
First of all, PPRs are usually calculated with zonal data, which are based on administrative boundaries (e.g. municipalities).
Routinely collected data, which are frequently used in public health, are often restricted by the boundaries of the units for which the data have been provided.
As a consequence, we characterize the set of boundary data which can be extended to nowhere vanishing VMO vector fields.
In particular, the local linear approach has a faster rate of convergence near boundary points, which is important when the data feature many propensity scores near zero or one (which is not the case in our application).
With the novel method, the inverted Young's modulus and Poisson's ratio of real field data focus the layer boundaries better, which is helpful for us to evaluate the brittleness of shale gas reservoirs.
The random forest classifier learns the boundary pixels between layers, producing an accurate probability map for each boundary, which is then processed to finalize the boundaries.
Therefore, in the absence of boundary evidence, this strategy favors flat boundaries, which is consistent with our initial flattening step.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com