Sentence examples for modeling frameworks such from inspiring English sources

Data from SignaLink 2 can be easily integrated to Boolean modeling frameworks, such as CellNetOptimizer [ 47].

Advanced modeling frameworks, such as these, may be advantageous in describing the nonlinear growth pattern of VFM and provide a better estimation of brain age; however, examination of the histograms of percent differences reveal the values to be normally distributed about zero, giving us confidence that the inclusion of data collected at different times from the same subject is justifiable.

The models themselves can take a number of forms, from relatively simple frameworks such as generalized linear or additive models to complex modeling frameworks such as Maximum Entropy Modeling (MaxEnt).

To study fatigue behavior at the nanoscale, one must apply non-continuum modeling frameworks, such as molecular statics (MS), molecular dynamics (MD), and Monte Carlo (MC) methods.

This paper builds on the Software Performance Model Interchange Format (S-PMIF), extending it to support the analysis of real-time systems and adapting it to be suitable for implementation with modeling frameworks such as MOF or EMF.

Third, our approach can be implemented with relative ease in existing modeling frameworks such as HyPhy [ 22].

Looking for further extensions the method presented is flexible, accommodating to any ODE based modeling framework such that the circuit's model structure is obtained from the starting list of parts by giving values to a set of binary variables.

Searching for a generic optimization framework, the methods presented next do not bound to a specific modeling tool, but accommodate to any ODE based modeling framework such that the circuit's model structure can be obtained from the starting list of parts by giving values to a set of integer variables.

In the near future, it is possible to utilize these marks better by introducing different model frameworks, such as conditional random field (CRF [ 28]) framework, which can estimate the weight for each feature automatically and predict the binding loci more precisely.

Owing to the hierarchical structure of the data and the planned missingness design, analyses will be performed within the linear mixed models framework, such as to model the variability and dependency at the different levels.

As a result, this analysis did not cover many possible risk factors from the Andersen behavioural model framework such as the availability and accessibility of ANC services, content of ANC services and the users' satisfaction with services.