Sentence examples for use of modeling techniques from inspiring English sources

System engineers have been making use of modeling techniques for a long time.

The objective of this study was to determine if the accuracy and precision of wetland plant indices of biological integrity (IBIs) could be improved through the use of modeling techniques.

This review paper describes the use of modeling techniques in prosthetic heart valve (HV) design and aims at the justification and development of a polymer based trileaflet mechanical heart valve (MHV).

Several interesting findings emerge from our analysis, including the overlapping of spaces due to the use of object-orientation, disturbing patterns such as design fixation, interplay between simulation, expansion and validation in the design space, and the varying use of modeling techniques to structure the two spaces.

To identify developments for the use of modeling techniques in RA, a systematic literature search was conducted January 14 , 2014in PubMED via Medline using "Medical Subject Heading" (MeSH) terms.

This study investigates the use of modeling techniques to quantitatively examine rates of coral cover change due to these effects.

The use of modelling techniques in data environmental analysis allows engineers to characterize in a better way the behaviour of air pollutants, in order: (i) to validate the measured data; and (ii) to predict the values of contaminant substances emissions.

The paper presents an approach and framework for addressing the problem of identifying an appropriate and valid set of timing requirements in order that the best use can be made of the advances in scheduling theory by the use of modelling techniques that allow for emergent properties such as timing behaviour.

The use of modelling techniques to quantify such uncertainties is an essential part of environmental risk analysis.

Whilst non-parametric approaches are good for describing the data, there are many advantages for the use of modelling techniques in observational studies when there are a number of covariates that need to be adjusted for.

We use an array of modeling techniques to interpret our data.