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The nonparametric support vector regression and random forest models, and parametric state-space time series models generally were the most accurate in interpolating the normal metric data.
In this paper, a new method for interpreting topology optimization results into stereolithography (STL) models and parametric CAD models is proposed.
Saranga and Phani (2009) employed non-parametric DEA models and parametric methods such as regression analysis to specify the factors that have contributed to the internal operational efficiencies of firms in Indian pharmaceutical industry.
To give a proper understanding of dynamic characteristics, the paper uses a combination of mass drop tests on a catenary, analytic models and parametric finite element model simulations allowing a fine analysis of the influence of train speed.
Voice conversion functions based on Gaussian mixture models and parametric speech signal representations are opaque in the sense that it is not straightforward to interpret the physical meaning of the conversion parameters.
The mean number of recurrences can be modelled using semi-parametric Cox models and parametric models [ 17, 39].
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This includes parametric models (parametric planning model and parametric packet-layer model) and bitstream layer model.
The verification of the multiscale numerical model and parametric study are presented in a companion paper.
By using a combination of analytical techniques, including spatial modeling and parametric methods, livestock losses due to puma predation were found to cluster in space.
Modeling and parametric analysis of an energy storage concept is performed using a physically based ReSOC stack model coupled with thermodynamic system component models.
Hydraulic driven manipulators face serious control problems due to the nonlinear system dynamics and model and parametric uncertainties of hydraulic actuators.
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