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Throughout the research, these implementations greatly reduce computing times for large traffic datasets.
It would be easy to reduce computing times of wavelet methods by optimizing it and compiling it in C language.
The BLAT algorithm is integrated into the gene indexing bioinformatics pipeline to reduce computing times when building and annotating other large gene indices (e.g. human, [ 79]; mouse, [ 80]; and rat, [ 81]).
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The use of parallel processing can also reduce computing time.
Response surface approximation was used to approximate the objective function to reduce computing time.
Recently many culling methods are studied and contribute to reduce computing time of CCD between deformable models [19],[19].
To reduce computing time, the method [5] proposes an algorithm to extract RPs from a single low-resolution image.
Not only will this reduce computing time, but will do so while minimizing the effects of the two evil forces of chip design power consumption and heat.
Finally in the implementation aspects the objective has been to reduce computing time using parallel algorithms and analysing the properties of the equations eliminating the null terms.
To reduce computing time, importance sampling is implemented to re-weight posterior samples thus avoiding the need to draw samples using Markov chain Monte Carlo techniques.
Linear detection algorithms require a series of sequential and complex process that needs high-performance processors to reduce computing time when the software is implemented.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com