Sentence examples for the performance of several methods from inspiring English sources

In this paper, the performance of several methods for determining the TOF of the ultrasound pulse has been evaluated when they are applied to the problem of measuring the bone depth.

The performance of several methods for CI estimation was validated by generating PFTs representing the cross-classification of two hypothetical clusterings in a population and by simulating the sampling process.

Additionally, suggestions on how to compare the performance of several methods are also given in the Results and discussion section.

In this article, we evaluated the performance of several methods for handling missing categorical data in nonlinear mixed-effects analyses.

In the following, we first compare the performance of several methods, and then show the significance in straightening 3D images using WSA.

To facilitate the comparison of the performances of several methods, the cutoffs of each method were chosen to approximately match the resulting type I error and average sample size under H0, based on simulations.

Fig. 5 Comparison of the ASR performance of several methods (bars) against the baselines (dotted lines) for the development test set (blue) and evaluation test set (green) using both C 50 estimators (NIRA-CART and NIRA-BLSTM) Table 3 WER averages obtained in evaluation data set   Clean Sim.

We then evaluated the performance of several forecasting methods, including a method not considered in earlier studies such as [ 4, 5].

This paper presents an extensive evaluation of how the choice of the components (classifiers) can affect the performance of several combination methods (selection-based and fusion-based methods).

We evaluated the performance of several supertree methods based upon the Quartets MaxCut (QMC) method of Snir and Rao and showed that two of these methods usually outperform MRP and five other supertree methods that we studied, under many realistic model conditions.

Their simulation program GENS can be used to generate simple, independent case-control samples with clear epidemiological interpretations and can be used to validate a statistical method or compare the performance of several statistical methods under specific assumptions.