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A comparative analysis of two modelling methods has been performed for the hydrolysis of propionic anhydrite catalysed with sulphuric acid.
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Theoretical studies in computer-aided modelling tools, most importantly the predictive, quantitative structure retention relationship (QSRR) modelling methods, have attracted the attention of researchers and these approaches greatly assist the method development process.
A lot of background modeling methods had been proposed, but few comprehensive evaluations of them are available.
The findings indicated that current building energy modeling methods have limited reliability in ECM performance assessment, and need to be improved to better support the design and implementation of ECMs in buildings.
Nonparametric background modeling methods have been used to estimate background distribution based on pixel values observed in the past.
Worldwide, modeling methods have been developed to improve the exposure assessment of population studies and to capture small spatiotemporal variations in levels of pollutant such as O3 (Briggs 2005; Jerrett et al. 2005; Zou et al. 2009).
Recently a novel shape prior modeling method has been proposed based on sparse learning theory.
On the other hand, the SNP effects on protein functions were inferred by modelled structures because the molecular modelling method has been found useful for estimating the effects of the substitution of amino acid residues on protein function.
Our database modelling method has five steps, as described below.
The accuracy and reliability of the SIMULINK modelling method has been examined via comparing a van der Pol oscillator represented in MATLAB code-script and SIMULINK block-diagram, showing the SIMULINK model has comparable performance with the code-script version.
The greenhouse environment is an uncertain nonlinear system which classical modeling methods have some problems to solve it.
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