Sentence examples for modelling process used from inspiring English sources

Given the complexity of the modelling process used in assessing an environmental cause, future work could be concentrated on establishing mechanisms that would enable more real-time access to environmental data and timely, automated and synchronized analysis of environmental and health outcome data to be built into syndromic surveillance systems.

3D models of buildings have been in Google Earth since its early days, said Parsons, but the company has found a way to automate the modelling process using aerial photography.

Such research aims to better understand the modelling process, using empirical studies to construct a body of knowledge.

The modelling process uses a number of parameters to predict others, such as the occurrence of determinate species, population size, habitat suitability or biodiversity.

Fig. 2 HBIM (©Autodesk Revit) of wooden vault in Soldi Palace in Cremona Italyy): 3D elements modelling process using laser scanner point clouds and hands on measurements.

The first stage modelling process, which used a random parameters logit model with error components, suggested that willingness to pay was higher for increasing the abundance of native bird than for non-bird species.

In this paper, low cost but sufficiently accurate finite element (FE) models were generated in LS Dyna for several experimentally characterised materials by semi-automating the modelling process and using existing material models.

The classic method of modelling drying processes using the transfer coefficients can be replaced by a method of solving Reynolds-Averaged Navier-Stokes equations applicable to the drying medium.

This paper describes simulation studies of the reaction and precipitation in a CHFS process using population balance modelling technique.

Both Sine and Cosine terms for month (January = 1, February = 2, etc) were used in the modelling process allowing us to look for an annual maximum and a minimum effect of season on gait score.

The modelling process was accomplished using adaptive neuro-fuzzy inference system (ANFIS) and polynomial modelling approaches.