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Results illustrate that proposed genetic algorithm converges to the optimal solution with an appropriate accuracy in less execution time.
The reduced Hermite splines require significantly less storage space and less execution time than the tensor product splines that have been previously used for this task.
Furthermore, a comparison between timing-driven and routability-driven inter-FPGA routing approaches shows that former approach requires, on average, 46% less execution time than the later while giving same frequency results.
The proposed D3DR has been compared to existing offline and online 3D reconstruction methods, showing that it uses less execution time than the offline method and uses an average of 49.6% of the total number of frames captured.
Experimental results show that our proposals are very interesting because they achieve better solutions than the single-objective optimization algorithms proposed by other authors in a very less execution time.
The less execution time, the better the CPU performance.
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Mixed query sets 10 and 11 execute their queries with 9.9% and 15.5% less execution times, respectively.
We show that the PN method produces results with similar accuracy to those from the conventional time-splitting method but consumes about 20% less execution CPU time.
The approximation technique utilized in SAX makes it a good candidate for real-time implementation on a smartphone as it requires less memory and execution time in comparison to raw time series.
It seems that adding the two curves would give a more or less horizontal curve, i.e., the total execution time has much less temperature dependence.
Various experiments are performed on real datasets in order to demonstrate that the designed method not only provides important, recent pattern information but also requires less computational resources such as execution time, memory usage, scalability and significant test.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com