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Porous media with different correlation lengths are derived from correlated fields.
This is possibly because strongly correlated fields will introduce strong correlations in transformed dataset (as we have already explained about the WEKA data transformation process for forecasting [38]).
Special cases of these correlated fields have been deployed successfully in data authentication, object detection and CAPTCHA1 generation.
Simulation of these correlated fields can be done in a single pass instead of relying on multi-pass convergent methods like the Gibbs Sampler or other Markov chain Monte Carlo algorithms.
The proposed method requires all cross correlated fields over the domain to share an identical autocorrelation function and the cross correlation structure between each pair of simulated fields to be simply defined by a cross correlation coefficient.
Unfortunately, our experiments show that using strongly correlated fields as target is, in fact, not always helpful.
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We also used the highest correlated field along with one randomly generated field along with the chosen topic as well.
We also used the highest correlated field along with the chosen topic as a benchmark method as well.
Quantifying fatty acids (FAs) is critical in microalgal research regarding their use as biofuels, as well as in the acyl correlated field.
Other models have incorporated time-correlated field data [ 20] and to explore the impact of "clustering" dropped doses on the drug resistance outcome [ 21].
The visual quality of the field often is correlated to field safety but not always, as a soft bright green field with poor traction is less safe than a slightly brown firm even surface.
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