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Scale models can be a solution for the validation problem.
In addition, a practical aviation structure engineering validation problem is described.
Indeed, consider the decision version of the problem, referred to as the validation problem for (mathsf {GFDs}).
The scope of the validation problem is particularly challenging for mental health apps due to their disproportionately large number.
However, for the validation problem, both fusion methods give better false acceptance rate/false rejection rate values regarding to individual biometrics.
However, when it is interpreted as a validation problem, both fusion methods gave better FAR/FRR values regarding to individual biometrics.
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Validation problems are presented that demonstrate the application and accuracy of the method.
We study the classical problems for reasoning about (mathsf {GFDs}), such as their satisfiability, implication and validation problems.
The results of these two validation problems show the feasibility and effectiveness of the proposed model validation method.
The accuracy of the implemented multiscale analysis is verified by comparing the results against two validation problems.
A series of verification and validation problems are used to illustrate the convergence properties of the algorithm.
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