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The framework consists of a method for visualising cost uncertainty and a dependency model for quantifying and forecasting cost uncertainty.
This study focused on a diverse group for climate change analysis – lichen epiphytes – to develop a heuristic model for quantifying risk that has two key components.
This study aims at 1) developing a decomposition model for quantifying mixed semantics of urban scenes, and 2) applying the proposed model to analyze urban functional zonings.
On the basis of the parametric analysis results, a simple analytical model for quantifying the slender composite beam support region ductility is proposed and verified.
This paper addresses the development of a one-dimension model for quantifying magnetic-elastic-thermal coupling and hysteresis inherent to giant magnetostrictive materials.
This paper presents a mathematical model for quantifying wear measured in two dimensions and subsequently converting it to a three dimensional wear model.
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The result is a spatially explicit, vector-based, spatially cumulative watershed modeling framework for quantifying watershed conditions to aid in restoration.
Additionally, models for quantifying the effects of biotic and abiotic risks were developed to generate more realistic prognoses.
Logical models for quantifying occupational risk owing to fall from height developed under the Workgroup Occupational Risk Model (WORM) project are presented.
Figure 4 qqplots of randomized quantile residuals for different models for quantifying larva density per m 2 (Eqs. 7.5, A; 8.5, B; 9.6, C 8.51, D).
The goal of this research is to evaluate two models for quantifying the capacity and delay effects of a lane blocking freight delivery on a signalized urban street.
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