Sentence examples for because this method considers from inspiring English sources

Because this method considers both shadowing and blocking effects, the simulation results are consistent with those in the official report.

This method considers the binary characters and any other possibility could be an error, because these features are mutually excluded [ 11].

This is mainly because our method considers the structure of document images (e.g., the presence of metadata).

This is because the proposed method considers the structure components only in the patch priority determination.

We do not use a threshold to distinguish between highly and lowly differentially expressed genes, because our method considers all differential expression levels for computing the scores.

Because the Hungarian method considers augmenting paths based on the order of the inputs, the matching output can be drastically altered for each iteration merely by by randomizing the ordering of nodes in B M ′ ε before calling the Hungarian method.

This method provides a solution to the problem of analyzing gene regulatory networks under parameter uncertainties because the root locus method considers the model parameters as variable, rather than fixed.

Because the maximum-likelihood method considers a more realistic evolutionary model and has some advantages [ 26, 27], compared with the approximate method, we analyzed the genes experiencing changes in protein evolutionary rates estimated by the LRTs in this study.

However, the modern trend in power-generating plants is to opt for all air-cooling because this method is considered simpler than steam cooling and offers more design flexibility by avoiding dependence on the steam cycle.

We used propensity score method rather than traditional multivariable analysis because this method is considered superior in reducing confounding and bias, especially when analyzing relatively small observational data sets.

We chose the average linkage method to measure the distance between two clusters because this method is considered to be suitable for most clustering situations and sufficiently robust [ 29].