Sentence examples for models containing several from inspiring English sources

Exact(1)

The results of this study indicate that models which use only one or two air quality variables, such as particulate matter [less than and equal to] 10 microm and sulfur dioxide, are probably unreliable, and that models containing several correlated and toxic or potentially toxic air quality variables should also be investigated in order to minimize the situation of model underfit or misfit.

Similar(59)

Although the crustal deformation associated with the seismic event of October 28, 2008 have been independently studied by Pinel-Puysségur et al. (2014) and Pezzo et al. (2014), using ENVISAT/ASAR data, their inferred source models contained several differences that were presumably due to the low-coherence problem of the C-band data.

The engineering details of the facility are described by a model containing several parameters.

In multiobjective optimization, the optimization problem is formulated with a mathematical model containing several conflicting objectives and constraints depending on decision variables.

In the analysis of numerous mathematical problems (arising in Economics, Statistics, Operations Research, Engineering, and Physics), situations often occur where a decision maker must make a decision to rule a system in an optimal way (on the basis of specified criteria), a model containing several alternative possibilities and which is, at least partially, under the control of the decision maker.

Image model containing several blurred circles.

Nonparametric Mann–Whitney U-test was used to assess differences in the invasion of melanoma cells in a skin model containing several variables.

27 We compared the predictive gain provided by assessment of chronic kidney disease against that provided by information on diabetes and smoking status, removing each of these variables from a risk model containing several conventional risk factors plus chronic kidney disease.

Compared with a model containing several conventional risk factors plus chronic kidney disease status, the C index decreased by 0.0015 (P=0.010) after removal of chronic kidney disease, by 0.0024 (P=0.002) after removal of diabetes, and by 0.0124 (P<0.001) after removal of smoking status (table 4).

Although the model contains several approximations for simplification, the simulated results fit well with the experimental curves.

This macroscopic model contains several thermodynamic and kinetic parameters, some of which are not available from databases.

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