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In addition, this section presents the IRYSS-COPD Study in which the proposed methodology is to be tested and validated, with a detailed outline of the methods used for validation purposes.
The obtained results are compared and validated with a half-analytical reference model.
A partial least squares regression model was calibrated and validated with a totally independent data set.
The methodology is demonstrated and validated with a case study of children bicycle.
Subsequently, the methodology will be tested and validated with a broader data-base.
Based on the significance of interactions, the regression equation was developed and validated with a number of test cases.
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In particular, computational approaches are compared with existing experimental results and validated with an analytical model.
The architecture is refined and validated with an implementation in the supply chain context.
The algorithm to estimate the angular head orientation is presented and validated with an accuracy about 1°.
Optimal shapes for the problem of minimizing the conduction rate are computed numerically and validated with an analytical solution.
A prototype system is built and validated with an illustrative example from manufacturing industry to demonstrate the feasibility of the proposed approach for optimal service recommendation.
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