Sentence examples for methodology for quantitative from inspiring English sources
A methodology for quantitative and objective Renewable Energy Market Competence Index is developed.
A methodology for quantitative crack identification is proposed in this paper based on multivariable wavelet finite element method and particle swarm optimization.
A new design methodology for quantitative street lighting design planning using space syntax theory, which is used to generate a strategic design framework based on detailed analysis of spatial configuration, is described.
Endoscopy can be validated by MRI as a robust methodology for quantitative monitoring of therapy, representing a promising approach for future preclinical efforts to assess utility of novel colorectal cancer prevention strategies.
This article presents the use of stochastic methodology for quantitative analysis of variability in stream flow discharge in response to fluctuations in lateral inflow rate, where the lateral inflow rate is considered to be the difference between rainfall and infiltration rates.
For the methodology for quantitative analysis of the colourless glass and smalt under variable pressure conditions, and the accuracy limits see Refs. [8, 45].
We set out analytical methodologies for quantitative analysis of drugs and their degradates in sewage and surface waters and give results of monitoring obtained from their application.
Recent developments in molecular biology and statistical methodologies for quantitative trait loci (QTL) mapping have made it possible to identify genetic factors affecting economically important traits.
Developing methodologies for quantitative analysis, both experimental and mathematical, of complex biochemical networks has become one of the central themes of post-genomic biochemistry and mathematical biology.
Despite this, no generally accepted methodology exists for quantitative evaluation of the medical response to a disaster drill.
Equally importantly, through the generation of multiple stochastic realizations, the methodology allows for quantitative assessment of the uncertainty associated with the inferred subsurface models, which in turn is essential for interpreting subsequent predictions of the flow and transport characteristics of the studied region.
