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Simulation studies verify the effectiveness of the new method and demonstrate the performance of the method when applied to address a mechanical structural system fault diagnosis problem.
We show that choice of chemical fingerprint does not affect the performance of the method when the parameters are tuned to optimal values.
A detailed analysis of the artifacts caused by different types of errors in the analysis and synthesis stages could be useful to improve the performance of the method when working in difficult acoustic environments.
We use data from an incubating Cassin's auklet (Ptychoramphus aleuticus Pallas, 1811) from the Pacific coast of British Columbia, to illustrate the performance of the method when diving is relatively shallow (<30 m), brief (<1 min), and frequent (<1 min surface intervals) [12].
It is important to test the performance of the method when working with sequences of poorly known taxa since many metagenomes could be enriched in these rare taxa.
For each one of the dataset above, we analysed the performance of the method when we filter by the parsimony-informative criterion.
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Seven examples are tested, the main concern is the performance of the methods when discontinuities with different strengths are encountered.
The FDR plots focus on the performance of the methods when the FDR is reasonably small.
Further research is needed into the performance of the methods when additional covariates are involved.
It is of interest to examine the performance of the methods when we generate data under one model but analyze it under another model.
This is a probable cause of the poor cross-validation performance of the methods when random genomic regions or promoters were used as negative controls.
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