Sentence examples for by using datasets from inspiring English sources

By using datasets, such as the stratospheric wind, equatorial electrojet (EEJ) strength, total electron content (TEC), and multiwavelength dayglow intensities which originate from different altitudes of the atmosphere, it has been shown that the PW influence on the upper atmosphere is solar activity dependent (Laskar et al. 2013).

Many planners have compensated for the limitations of ecological classifications by using datasets composed of multiple surrogates [e.g. 2], [15].

We first applied our method to predict the binding affinity landscape of Gcn4p in Saccharomyces cerevisiae by using datasets from HiTS-FLIP.

We have applied this method to predict the binding affinity landscape of Gcn4p in Saccharomyces cerevisiae by using datasets from HiTS-FLIP.

Further research is warranted to test this approach in settings where the spatial pattern of TB differs from that of Lima, preferably by using datasets in which DST has been conducted for all TB patients to prevent potential sampling bias.

Biased estimates in substitution rate and TMRCA were observed by using datasets that included tissue culture passaged, attenuated vaccine strain complete genome sequences, in which slower evolutionary substitution rates and earlier TMRCA were predicted.

Meanwhile, by using the same number of real reverberant data, we could reach 75.4% and 71.6% of ERR relative to the baseline by using dataset containing utterances by five speakers and one speaker, respectively.

The experimental result of ASR using simulated data shows that we could reach 78.4% of ERR relative to the baseline by using dataset containing 40 pairs of utterances by five speakers as the NN training data.

Secondly, we tested the Parallel-META pipeline on Dataset 2. Finally, we analysed the comparison result and complete common phylogenetic tree by using Dataset 1.

Additionally, the results are also validated using dataset recorded by our research group.

All datasets were randomly arranged, divided equally into five datasets, and subjected to a fivefold cross-validation (CV) by using four datasets as training data and one dataset for validation.