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We interrogate the performance of this method by comparing the results with the best performed work of BPNN model.
We now analyze the performance of this method.
The performance of this method is verified favorably.
The performance of this method demonstrated promising results.
The performance of this method was evaluated in three categories.
The performance of this method is analytically evaluated.
The performance of this method depends on the completeness of the negative vocabularies.
The performance of this method is found to be simple and efficient.
Obviously, the accuracy of the model has a direct impact on the performance of this method.
Finally, to improve the performance of this method, we suggest an iterative decoding method.
The performance of this method significantly degrades in the presence of noise and reverberation.
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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