Sentence examples for modelling methodology in from inspiring English sources
Could dynamic complexity in social oral epidemiology be addressed by using systems modelling methodology in our future research programmes?
The routine application of the modelling methodology in the environmental risk assessment for newly designed pharmaceuticals would enable prediction of their important physical/chemical properties and forecasting their long-range transport and fate.
The retrofitting phases (and technologies) have been used as the basis for the modelling methodology in this paper, together with the corresponding envelope assemblies, material properties, climate, and internal load parameters.
This paper presents a knowledge modeling methodology in the aspect-oriented context focused on the early stages of the software development.
18 Deficiencies in modelling methodology and residual confounding may, however, provide an alternative explanation.
So, the capabilities of various inlet boundary conditions with related modelling methodologies in constructing equilibrium ABL are assessed firstly through cases of ABL flows over uniformly rough terrain, to ascertain that there are no substantial changes in the prescribed profiles throughout the whole computational domain.
This study focuses on modelling the harnessed power and efficiency of the Converter based on a surrogate model methodology, in vortex-induced vibration (VIV) and galloping region.
This software also presents the Analysis, Design, Development, Implementation and Evaluation, also known as the ADDIE model methodology in order to develop the system.
Two case studies of chemical consumer products illustrate the implementation of the mental models methodology in designing risk communications, combining a quantitative technical assessment of a hazard with qualitative methodologies for assessing beliefs and behaviors that are key determinants of risk.
There has been increasing use of mixed model methodology in this field, for both the estimation of (co variance components and the prediction of genetic merit for varietal selection, e.g. [ 7- 11].
Empirical, mathematical and artificial neural network (ANN) modeling methodologies and their applications in fabric engineering are described.
