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In this paper we present a methodology for the estimation and prediction of the ecological efficiency of VMs in private cloud infrastructures.
This chapter also describes the methods for the estimation and prediction of the more important properties of polymers in the solid, liquid, and dissolved states, in cases where experimental values are not to be found.
Experiment design and implementation, data pretreatment, model parameter identification and application of the obtained model for the estimation and prediction of the SOFC stack maximum and minimum temperatures are covered.
The Kriging interpolation which is mathematically closely related to regression analysis has been developed in geographic statistics for the estimation and prediction of spatial data (e.g., Roush et al. 2003; Samsonov and Tiampo 2006; van Dalfsen et al. 2006; Samsonov et al. 2007; Miura 2010; Majdański 2012).
Several neural-network architectures and topologies were tested for the estimation and prediction of lipase production.
An understanding of fire regimes at local scales is required for the estimation and prediction of the contribution of these fires to the global carbon cycle and for fire management.
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Scientific computations for the quantification, estimation and prediction of uncertainties for ocean dynamics are developed and exemplified.
The Kalman filter (KF) has commonly been used for estimation and prediction of the target position in succeeding frames.
The random regression representation of MACE facilitates exploitation of principal component or factor analytic approaches for variance component estimation and prediction of breeding values for international sire evaluations.
Geostatistical methods for trend parameter estimation, semivariogram estimation and prediction of the latent process are reviewed, and new estimators and predictors are proposed.
Estimation and prediction of tool life thus becomes critically important for performance evaluation of the tools.
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