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This comparison shows excellent agreement.
This comparison shows an excellent overall agreement.
This comparison shows a reasonable agreement.
This comparison shows a reasonable agreement for the PSC portfolio.
This comparison shows that the approximate model is accurate.
This comparison shows that the proposed model provides good performance.
This comparison shows that DEGR effort is very robust and effective.
This comparison shows that the proposed model comes with lower prediction error than other methods.
This comparison shows the great dependence of velocity fluctuation (and thus of trajectories) on spatial correlations.
This comparison shows an unexpected conformance between the egress width and stranded number of panic crowd.
This comparison shows that the presented mapping rules effectively produce meaningful and semantically accurate UML models.
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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