Sentence examples for sample optimization from inspiring English sources

The average recognition accuracy of unit saccadic signals achieved 99.0% (before sample optimization) and 99.57% (sample optimized) over 10 participants, which reveals that the proposed algorithm presents an excellent classification performance in saccadic signals recognition.

It is interesting to note that the VSD of the hERG potassium channel has also been expressed in E. coli and subjected to NMR sample optimization, where lyso-myristoylphosphatidylglycerol (LMPG) micelles were found to yield the optimal NMR spectra.

A sample optimization result is presented to illustrate the procedure, and the final solution is translated into a physical embodiment having heterogeneous material properties.

In order to determine saccade related independent components (SRICs) and improve the recognition accuracy, we also developed an automatic SRICs detection algorithm and sample optimization strategy.

A few sample optimization problems involving two and three objective functions are solved, both for the operation of an existing plant (which is almost trivial), as well as, for the design of new plants (associated with a higher degree of freedom).

The density of peaks in 3D cubes extracted from 4D N/ N separated NOESY experiments is actually expected to be comparable with that of a 3D-HNCACB experiment used for sequential backbone assignment, and prior sample optimizations performed to minimize (H N, N) overlaps are thus expected to be similar in both strategies.

According to a comparison of the proposed additional sampling optimization method with spatially even sampling method and spatially random sampling method, the case study demonstrated that the proposed optimization method based on the error index is superior to the other methods in improving the prediction precision of soil contaminant grades and that its performance is stable.

Sampling optimization was performed using a 22 factorial design tool.

Over the last decades extensive work has been done on sampling optimization.

Finally, efficient sampling optimization based on the simulated annealing algorithm is proposed and implemented in the software.

The aim of our work was to elaborate a sampling optimization methodology for multivariate DSM considering the demands on economic efficiency.