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The theoretical predictions are validated by a simple experiment.
Then, the identified candidate patterns are validated by a fine-grained source code analysis phase.
The implemented control strategies are validated by a piezoelectric layered smart plate under various excitations.
The analytical results are validated by a discrete event simulation model that uses Poisson traffic sources.
Finally, the feasibility and effectiveness of the design method are validated by a numerical simulation.
The presented models are validated by a comparison of simulation and measurement results.
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Furthermore the results are validated by an example enterprise.
The results of this optimization are validated by an experiment.
The theoretical results are validated by an example.
The model was validated by a 10-fold cross-validation strategy (Fig 6C).
It is validated by a randomization test and a bootstrap-like cross-validation.
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