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We'll continue to update and improve our algorithm for segmentation.
We could improve our algorithm to predict the node labels in these involving networks in the future.
Here we may find two solutions to improve our algorithm: design and apply more structural patterns or modify the criteria used to check the plane.
As future work, we wish to improve our algorithm by means of further optimization and to enhance the tools by providing a standalone module for live visualization of graph evolution.
In the near future we plan to improve our algorithm in two directions: 1. Connection detection: We plan to design and employ better rules to detect the bonds which should be connected but are ignored by our algorithm and to reduce the redundant bonds that are over-connected.
In future work, to improve our algorithm, we need to analyse the characteristic changes in the tremor signal depending on the strength of the voluntary signal in some way, such as time frequency analysis or by evaluating EMG signal shape changes, and then revise the processing method.
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Autocomplete isn't an exact science and we're always working to improve our algorithms".
Clearly, we don't always get it right, but we continually work to improve our algorithms.
"In this case we clearly didn't get it right, but we are continually working to improve our algorithms".
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We often discussed with Professor Land, as well as a couple other people, ways to improve our algorithms and did look for feedback.
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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