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We explored the performances of methods dedicated to big data analysis for detecting independent associations between exposures and a health outcome.
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Ross et al. [19] explored the performance of iris recognition in wavelengths beyond 900 nm.
In the previous section, we have explored the performance of the different transmission techniques in terms of outage probability.
We first explored the performance of the proposed EANN for the Mackey Glass chaotic time series.
We explored the performance of MLEANN and conventionally designed ANNs for function approximation problems.
In terms of performance, we explored the performance of the proposed method against other techniques using images from various sources with different image sizes and densities.
We have implemented four representative routing algorithms in the NS-2 framework and explored the performance of vehicular networks using each of the routing algorithm.
Using the tropical forest site in Mouila, Gabon as a case study, we explored the performance of spatial modeling under various circumstances.
In prior coverage, Crunchbase News explored the performance of U.S. venture funding, and, at least as far as seed and early-stage investment goes, 2017 was not a great year.
We specifically explored the performance of COPA, OS, ORT, the t-statistic and the GTI in relation to the number of samples that were informative for a given gene.
The second experiment explored the performance of decision trees for use with MCAR data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com