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Moreover, the proposed analytical expression is applied to predict the SCFs of real machined surface topographies, and the prediction is validated by finite element analysis.
The prediction is validated through free-vibration wind tunnel experiments.
The accuracy of the prediction is validated by the uniaxial tests.
As a numerical test, the model prediction is validated using PPBLab software, where the extended fixed pivot technique with a multi-sectional grid (w.r.t droplet diameter) is used.
This prediction is validated by atomistic simulations of crack propagation along coherent GBs, including Σ3(1¯11) and Σ11(1¯13).
The probability of a tourist attraction appealing to a particular tourist is calculated utilizing a Bayesian network, and the accuracy of the prediction is validated by a ROC curve test.
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The accuracy of intratreatment-modality model prediction was validated by a leave one out cross-validation method.
The first prediction was validated by experimental observations reported by other researchers.
Our prediction was validated by a final design that, when compared to the final design of the optimal geometry, saw that the optimal geometry design had at least 16× better average RMS WFE.
The model prediction was validated with fermentation and SSF experiments.
All the results in both channel parameter estimation and channel capacity prediction are validated with some simulations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com