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Both multilinear regression (MLR) and artificial neural network (ANN) were employed in the modeling.
Furthermore the obtained data can be employed in the modeling of thermodynamic and mechanical properties of Co-based alloys to enable the design of high temperature alloys.
The heat transfer coefficients, corresponding to the two main flow patterns in AVMD process, bubbly flow hfbub= 1.7527Retp0.4215Pr13μb/μw0.14λ/d and slug flow hfslu= 0.0632Retp1.0420Pr13μb/μw0.14λ/d, were obtained and employed in the modeling of AVMD process.
A backward, stepwise selection approach using covariates found to be significant by univariate analysis was employed in the modeling strategy.
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Finally, we conducted tests on stationarity and cointegration of the time series employed in the model.
The quasi-static properties of the materials are employed in the model.
They were employed in the model transesterification reaction with vinyl butyrate and the enantioselectivities were determined.
The criterion is also employed in the model identification in this study.
A lattice approximation is employed in the model analysis discussed here.
The lognormal distribution, being more appropriate for repair of mechanical systems, is employed in the model (Dennis 2003).
The max-operation is employed in the model to emulate the scale and position invariant responses of the visual cells.
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