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Finally, we present numerical results in two and three spatial dimensions evaluating our simulations with several benchmarks.
We tested our method with several benchmarks and the results show that we receive good performance of the design, with area and timing estimated efficiently.
We defined two protocols for quality-independent and quality-dependent score-level fusion, and also provided performance evaluation results with several benchmarks for each protocol, which will advance the research into quality-dependent score-level fusion.
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A performance comparison with several benchmark local cost aggregation approaches is presented, along with a thorough analysis of the time and storage complexity of the proposed method.
The validity and efficiency of the proposed model is assessed through comparison with several benchmark solutions of fibre reinforced and particle reinforced composites.
Compared with several benchmark problems, our experimental results demonstrate that HSMIEC often performs better than some other EDAs, such as BMDA, COMIT, MIMIC and ECGA.
Comparing the performance of the proposed approach with several benchmark time series modeling and algorithms shows that the proposed method is able to predict time series more accurately than others.
Several benchmarks were compiled with the SOFIA toolchain, and were executed on a SOFIA core running on an FPGA, showing an average total execution time overhead of 106% compared to an unmodified LEON3 core.
Several benchmarks are tested to verify its feasibility and accuracy, including the 3D homogeneous benchmarks and heterogeneous benchmarks.
There are several benchmarks determining the amount of compensation issued.
We tested our algorithm with several other benchmark video streams [16].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com