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The quality indices are methods for quality evaluation of cast aluminum alloys that evaluate the material on the basis of its mechanical performance.
Experiments on public databases demonstrate that the proposed method achieves promising performance in evaluating traditional distortions, and it outperforms the existing metrics when used for quality evaluation of color-distorted images.
We propose a new parameter for quality evaluation of ionogram traces reconstructed by Autoscala.
Particularly, the XML file contained weighted parameters of tweet metadata for quality evaluation.
Spark streaming was used in the implementation to study feasibility of the technology for quality evaluation.
Meanwhile, the different harvest time of the herb for quality evaluation were also discussed.
The raw data was transferred to the data quality management tool for quality evaluation.
In the experiments 176,478 tweets (~798 MB) were transmitted for quality evaluation.
A hybrid approach has been proposed for quality evaluation across the big data value chain [10].
WAII and CI are possible abstractive parameters to elicit satisfaction for quality evaluation.
The ultimate aim of our study is to establish a new standard for quality evaluation.
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