Sentence examples for handling the discrepancy from inspiring English sources

The main ideas include introduction of a novel data mining stage handling the discrepancy between simulation models of different fidelities, and a surrogate-model-assisted combined global and local search stage for efficient high-fidelity simulation model-based optimization.

The algorithm provides a flexible solution to handle the discrepancies from different view planes and can obtain an accurate bladder surface with more geometric details.

But the study found striking differences in the way that urban and nonurban counties handled the death penalty, discrepancies that had more subtle racial implications.

A technique is proposed for handling a discrepancy between the code and covariance libraries regarding the amount of reactions present in the cross-section model.

The details of handling data discrepancy (e.g., when comparing MODIS NPP with modeling NPP, the former could capture real-time disturbances, but the latter did not incorporate these disturbances) and data frequency (e.g., low FIA measurements probably did not capture tree mortality sufficiently) during the model initialization, calibration, and validation can be found in Liu, et al. [18].

The details of handling data discrepancy (e.g., when comparing MODIS NPP with modeling NPP, the former could capture real-time disturbances, but the latter did not incorporate these disturbances) and data frequency (e.g., low FIA measurements probably did not capture tree mortality sufficiently) during the model initialization, calibration, and validation can be found in Liu, et al. [ 18].

Some systems were better for one of these constructs than the other and we may have handled these discrepancies differently.

"There is a discrepancy in the way Turkish and American officials handle the conflict," the official said, while adding that both wanted an end to civilian deaths.

This is likely the result of JATAC being better at handling homopolymer discrepancies and taking flow order into account, whereas cd-hit-454 is operating mostly on global similarity scores.

Each perspective suggests a different approach to handling informant discrepancies (i.e., use of composite scores vs. algorithms).

Thus, method differences, the contribution from other proteins and their isoforms (e.g. cystatin C) in the specific m/z-range, and the contribution from ex vivo oxidation caused by differences in sample handling may all underlie the discrepancy between the present work and the previous report.