Sentence examples for modelling technique which from inspiring English sources

The method is a 2.5D surface modelling technique which is based on the application of statistical nonparametric regression methods for point cloud regularization and mesh smoothing, specifically the kernel-smoothing techniques.

Delamination and matrix cracking are considered in the modelling technique, which is validated by experimental measurements on a carbon-fibre/epoxy plate using a drop-weight impact tower and a scanning laser vibrometer.

This solution is achieved in this study by the use of the linear programming (LP) mathematical modelling technique which is designed to optimise the usage of limited resources which in this study is the limited quantity of water supplied to consumers.

LCA is a probabilistic modelling technique which can detect latent (i.e. not directly measured) homogeneous non-overlapping classes underlying observed data [ 28].

The statistical modelling technique which we applied was suitable for analysing skewed medical expenditure data in contrast to a previous paper.

Using the C4.5 modelling technique, which we consider a CART variant, sample sizes of 2000 for the LED database, 8000 for the CENSUS database and 12000 for the WAVEFORM database were required for a model being no more than 1% less accurate than a model based on all the available data.

This paper presents a modelling technique by which an HSpice model can be provided for characterization of phase modulation properties for designing FLC-on-silicon SLMs.

ISM is a modelling technique in which the specific relationships among the variables and the overall structure of the system under consideration are portrayed in a digraph model.

We used a modelling technique by which each participant's overall study experience was subdivided into individual risk periods delineated by the dates of his or her baseline and follow-up interviews.

ORs also form part of the output when carrying out logistic regression, an important statistical modelling technique in which the effects of one or more factors on a binary outcome variable (e.g. survival/death) can be examined simultaneously.

To address these issues, researchers increasingly employ hierarchical modelling techniques (multilevel modelling), which allow covariates at different levels [ 12– 14] to be included.