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EOS-based models can provide estimations of thermophysical properties for compounds to aid in designing processes and devices.
Such a set of rules may provide estimations of response parameters based on the key parameters influencing the result.
After statistical validation, the fitted models were used to support the identification of the significant effects of the process variables and to provide estimations of the measures of separation (responses) for combinations of the levels of the process variables over a feasible region of interest.
Quantum chemistry calculations based on ab initio and density functional theory (DFT) provide estimations of several properties with increasing accuracy, but with a high computational cost.
There are a variety of available remote sensing applications for the identification, measurement, and classification of surface defects and thus, also to provide estimations of road roughness.
Subsequently, the authors provide estimations of different probit models for clusters of NEETs identified according to the modalities of some significant determinants.
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The output of these networks will provide estimation of the states of the lateral dynamics.
We also evaluated the ability of INV-WATFLX to provide estimation of thermal properties and fluxes from temperature rise measured by a sub-set of the four thermistors.
In PBA method, integration of diffusivity equations solutions for linear and elliptical flow regimes can provide estimation of SRV characteristics.
Various Doppler-derived parameters provide estimation of LV filling pressure with good correlation to invasively measured pulmonary artery occlusion pressure (PAOP), specifically in septic shock patients populations [64].
We propose a fully flexible Bayesian approach allowing nonparametric modeling of the random effects distribution using a Dirichlet process prior and provide estimation of both fixed effect and random effects parameters using a Markov chain Monte Carlo numerical integration scheme.
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