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The developed methods are, conceptually and computationally, analyzed and validated using an industrial case study.
The model was verified and validated using an industrial spray dryer in food drying processes covering a wide range of operating conditions and food products.
A combined metabolic/polymerization/macroscopic modelling approach, relating the process performance and product quality with the process variables, was developed and validated using an extensive series of experiments and measurements.
The miRNA panel was developed with a logistic regression model and validated using an independent cohort.
Chromosomal locations of TaPFT1 homoeologues were thereby identified, and validated using an independent CAPS-based assay.
The VIP-PLS-DA, SR-PLS-DA, and UVE-PLS-DA models were constructed and validated using an independent test set.
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Five variables (admission day, purpura/ecchymosis, ascites/pleural effusion, blood platelet count and pulse pressure) were further trained and validated using a ten-fold validation strategy with ten rounds of repetition [ 34, 35] using Weka 3.7.7 software [ 29].
Models were calibrated using leave one out cross validation (LOOCV) [33] using a training set and validated using a testset.
The RFH score was developed and validated using a training set (75% of the population) and a validation set (25%).
The approach has been tested and validated using a real scenario and the available traffic measurements.
Furthermore, the approach is tested and validated using a simulated gene network model.
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