Sentence examples for performance of the analytic from inspiring English sources

Consequently, the performance of the analytic approximation (11) is not fully satisfying either, since the analytic approximation was derived under the assumption that the electrodes are placed in a large medium.

Results from this analysis are summarized in Figure 2. Overall, it was determined that many factors can influence the overall performance of the different analytic methods and tools, and distinct features of each may impact its utility with regards to task-specific performance.

A simulation experiment is carried out to assess the performance of each of the analytic approaches and a health utilization data set is used for illustration.

Finally, the performances of the developed analytic models for estimating setups and setup time are evaluated in the experimental design, and a simulation model is built for accuracy comparisons with the analytic models.

We have evaluated the accuracy of the estimations of our method during the performance of analytic rehabilitation exercises of the wrist and elbow.

To evaluate the analytical performance of the Roche E170 modular analytics immunoassay analyzer and assess its impact on workflow efficiency and ability to consolidate workstations in a pediatric setting.

The relevant technologies for compression, sampling, or even the platform presented in recent years may also be used to enhance the performance of the big data analytics system.

This explains that the performance of the big data analytics can be improved by data mining algorithms and metaheuristic algorithms presented in recent years [147].

Although the size of the test dataset cannot be regarded as a big dataset, the performance of the big data analytics using map-reduce can be sped up via this kind of testings.

In the study of [138], Zhao et al. believe that the maximum size of data and the maximum number of jobs are the two important metrics to understand the performance of the big data analytics platform.

Meanwhile, a weighted set cover scheduling (WSCS) is implemented to further improve the performance of the data-intensive analytics by choosing the best combination of data nodes to perform the computation.