Sentence examples for model a unified from inspiring English sources

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Based on this model a unified method is developed to solve the constraint equations.

In the model, a unified relation among strain energy, load, deflection, geometric parameters and material property parameters is proposed to depict the elastoplastic response during ring compression test.

According to this new model, a unified methodology for establishing robust stability, asymptotic stability and exponential stability of impulsive controllers is developed.

In this paper, after developing a steady state power and gas flow model, a unified probabilistic power and gas flow method, that adopts cumulant method and Gram-Charlier expansion, is applied to the natural gas and electricity coupled system.

We applied a Bayesian geoadditive semiparametric mixed model, a unified approach that explores geographic patterns in the prevalence of HIV infection and possible nonlinear effects within a simultaneous, coherent Bayesian regression framework.

Similar(55)

The integration of product and process models in a unified data model could provide the means by which information could be shared between High Energy Physics (HEP) groups throughout the system lifecycle from design through to production.

As other studies in this field, [19] suggested dynamic Bayesian variable partition model (DBVPM) to model dynamic FC via a unified Bayesian framework.

Tang et al. further extended the LDA and Author-Topic model to the Author-Conference-Topic model [6], which is considered as a unified topic model to simultaneously model the different types of information in the academic network.

This paper introduces a new method of modeling associative engineering relations in a unified feature modeling scheme and elaborates a change propagation algorithm for the information consistency control among multiple applications of product lifecycle stages.

These data suggest a unified model for how Vpx and Vpr exploit DCAF1 to promote viral replication.

We have shown that by incorporating repeated measures of a biomarker within a unified joint model framework, we reduce bias due to measurement error, even when only the baseline level of the biomarker is predictive of survival.

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