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The multiscale approach and the proposed viscoplastic model provide good correlation with the experimental results.
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However, the goodness of fit statistic from the predisposing only model provided good discrimination in predicting ERVH with a C-statistic of 0.69, enabling had a C-statistic of 0.58, and need had a C-statistic of 0.71.
Qualitatively, the model provides good agreement with the experimental data.
This comparison shows that the proposed model provides good performance.
This model provides good prediction of GPS static displacements on Honshu.
From the figure it can observed that the proposed model provides good results for dip-position.
Such statistical model provides good approximate answers to queries with a given probabilistic confidence.
The model provides good accuracy for correlating 85% of the data within ± 10%.
The model provides good results when applied to two sediments with different levels of oxidation.
This model provided good prediction accuracy (maximum percentage error 7.45%) of surface roughness.
The test shows that this new model provides good predictions for highway noise conditions in Thailand.
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