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To evaluate the performance of our 4D FAPOA approach, we applied different standard evaluation metrics.
However because of the stringent statistical approach we applied most transformations are not used.
We will next describe the approach we applied in our exercise.
In the first approach, we applied data from Rubin and Lanyon's bone maintenance studies.
To illustrate our approach, we applied it to a Canadian lumber industry case.
To show the validity of this approach, we applied our method to two well-known mutations responsible for drug resistance.
To evaluate this new approach we applied both models to predict breaking and entering incidents in Charlottesville, Virginia.
To validate our approach we applied it on several case studies, two of which we present in this paper.
To evaluate the proposed approach, we applied it to stock price data of IBM Corporation which had been used in different papers as the case study.
To examine the validity and usefulness of this new approach, we applied an extension of the KWW gross export decomposition method to the extended tables.
To evaluate the efficiency of the proposed approach we applied it using a real application workload on a cycle-accurate Network-on-Chip simulation framework.
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