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Another mode for improving coding performance is predicted using the Markov chain.
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Subsequently, for each of these models, the part-load performance is predicted using component maps and turbine constants, respectively.
A Bayesian regression model (Bayes A) and a semi-parametric approach (Reproducing kernel Hilbert Spaces regression, RKHS) using all available SNPs (p = 3481) were compared with a standard linear model in which future performance was predicted using pedigree indexes in the absence of genomic data.
The annual performance was predicted using a Fortran computer subprogram constructed based on the analysis and connected to the TRNSYS simulation program.
Radiator temperature distribution and cooling performance was predicted using theoretical calculations, then validated using CFD simulation results.
Crystallizer performance can be predicted using the population balance concept, along with kinetic and solubility data.
Cutting force, tool life and many other performance measures can be predicted using the proposed methodology.
The long-term performance of the material was predicted using the time temperature superposition principle.
After estimating the additional hydraulic losses in the casing and the inlet and outlet sections of the pump, the performance of the pump can be predicted using the numerical results from the impeller section only.
The performance of the pump is predicted using an experimentally validated numerical model.
The performance of these two systems is predicted using plant responses and disturbance signals measured in a small city car.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com