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The analysis focuses on the estimation of the density of adsorbed CO2, a parameter that is key to quantify the storage capacity of a given material.
Results show that proposed ANN model represents a good estimation of the density in petroleum products monitoring application and can be used as a reliable and accurate tool.
The Wang Landau algorithm is a flat-histogram Monte Carlo method that performs random walks in the configuration space of a system to obtain a close estimation of the density of states iteratively.
The models enabling the estimation of the density and of the thermal capacity of the samples as a function of the millet and water contents was found to be in good agreement with the experimental results.
Unlike existing adaptive SPH simulations, the present scheme is based on an adaptive kernel estimation of the density, which combines intrinsic features of both the kernel and nearest neighbor approaches in a way that the amount of smoothing required in low-density regions is effectively controlled.
A rough estimation of the density of states is given from temperature measurements.
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Additionally, in density estimation for the likelihood ratio test (e.g., in a forensic case), a large-scale database enables more accurate estimation of the densities, which are dependent on the relatively large score databases.
In Kernel Density Estimation (KDE), an estimate of the density is made by centering normalized kernels on each sample and computing weighted averages.
First, the resampling frequency is reduced due to a better fit of the importance density for the estimation of the posterior density.
Separability measures based on scatter matrices are normally preferable to probabilistic distances because they do not require an estimation of the probability density function of the classes or that those probability density functions are known a priori.
Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge.
More suggestions(15)
estimation of the abundance
estimation of the concentration
estimation of the population
estimation of the intensity
estimation of the gravity
estimation of the traffic
prediction of the density
valuation of the density
assessment of the density
figure of the density
estimation of the rate
estimation of the dense
estimation of the volumetric
estimation of the concentrations
estimates of the density
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