Sentence examples for performance can be modeled from inspiring English sources

Asphalt mixture is a typical particulate system whose mechanical performance can be modeled based on the particle interactions (contacts) at microscale.

The whole workflow is a pipeline of two pipelines (i.e., a pipeline), whose performance can be modeled by means of the service time (Ts) of each stage S i.

By thus identifying rare-het SNPs among the larger pool on a commercial SNP array, RHH performance can be modeled under various combinations of Y, Chet, outlier ethnicity and Affymetrix or Illumina array since each of these parameters determines the SNP subset which qualifies as rare-het SNPs.

In this work the modelling has been extended to show that the Tromp curve which describes separator (classifier) performance can be modelled in terms of d50(corr), by-pass, the "fish hook", and the sharpness of the curve.

Since the funds collected from the first level determines on the investment decision in the second level, the banking branch performance evaluation problem can be modeled as a leader-follower Stackelberg problem (Wu 2010).

Since the test statistic is the same as in the array-based GLRT, the performance of the approach can be modeled using the theoretical detection and false alarm probabilities shown in (10) and (9), respectively.

The variation in prediction performance between different algorithms can be modeled by imposing P T and P F to follow Beta distributions, normally used to model random variables limited to intervals of finite length.

For systems exhibiting linear isotherm behavior over the relevant concentration range, their performance can be predicted using models that are amenable to analytical solutions.

The difference in model performance can be attributed to the pattern of distribution of these species.

For regression models, the model performance can be described by the predictive squared correlation coefficient q2.

The goal of this work is to determine whether performance can be improved in these models through further design optimization.