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Sun and Ma [95, 96] and Micholia et al. [97] show how improvement to the quality of crowdsensed data can be achieved while still constraining the monetary incentive mechanism to work with a fixed budget.
We show, that the coupled approach outperforms the fully algorithmic approach by AD in terms of run time and memory requirement and argue that this can be achieved while still preserving the desireable feature of AD being automatic.
For process design, the choice of the process intensity was identified to be crucial: the required product safety needs to be achieved, while still reaching an acceptable structural and nutritional quality.
In addition, we provide a documentation of the code developed and demonstrate that a performance comparable to Fortran can be achieved, while still maintaining a maximum of code readability and extensibility.
We believe that better results can be achieved while still using the bag-of-words representation.
The question that remains however is can accurate filtering of false positives be achieved while still maintaining high recall (sensitivity).
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This is primarily through the significant increase in solar field and receiver efficiency that are achieved while still retaining the benefit of scale in the power block.
By replacing the optimal MAP equalizer with a suboptimal, low complexity MMSE equalizer, low complexity turbo equalization is achieved, while still achieving matched filter bound performance using static channels of length five[5].
In all cases there is an operating window where the combination of RCF and spin time is such that ≥99% recovery of cells is achieved while still achieving modest levels of cell compaction (e.g., RCF of 2500 xg for 10 min yielding ∼600 × 10 cells/mL— Fig. 2).
Since the non-active nodes join the consensus process without invalid tracking estimates, faster consensus process could be achieved while the network performance is still maintained.
Detecting abnormalities from a digitized mammogram is a relatively easy task and many improvements have been achieved while the latter is still a major area of research [ 3].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com