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The phrase "an improvement when using" is correct and usable in written English.
It can be used to describe a positive change or enhancement that occurs as a result of utilizing a particular method, tool, or approach.
Example: "There was a noticeable improvement when using the new software for data analysis."
Alternatives: "a benefit when employing" or "an enhancement when utilizing".
Exact(4)
Four research groups reported an improvement when using a hierarchical organization of the detection process.
First, there is an improvement when using color information for a given voxel size, specially for the SS algorithm.
The STBC-SM proposed in [32] that was originally designed for a conventional MIMO system can be used on this WRN, but Section 2 shows an improvement when using the proposed algorithm.
As for nonlinear-B, we did not find either an improvement when using sequence (Table 4).
Similar(56)
However, they did not explore how well their classification approach works when used in conjunction with other clustering methods: while sensitivity was improved, many reference complexes were still unable to be predicted in part due to limitations of HACO, thus raising the question of whether other clustering methods may also see an improvement when used with their co-complex predictions.
To investigate any improvement when using these fluids, the effects of the properties of nine different working fluids on the overall combined cycle efficiency have been considered.
We measured the average number of SD connections maintained and showed a significant improvement when using the hybrid energy model.
Hence, it can be expected that there is a performance improvement when using analog network coded transmission compared to multiplexing transmission.
We tested this method using broadband seismic data from the Philippines and found that reprocessed inversion solutions using this method showed a clear improvement when using R = 11, although focal mechanism estimations were not entirely stable.
There is a clear improvement when using the discrete beta-binomial instead of the continuous normal distribution.
Jonnalagadda et al. [ 27] investigated distributional semantics features for clinic entity recognition, and their evaluation on the same 2010 i2b2 challenge data showed a significant improvement when using these features.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com