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According to the results of classification accuracy testing after dimensionality reduction on rotating machinery status, the MIVs-WBDA method has a 3% classification accuracy improvement under the low-dimensional feature set. The typical running time of this classification learning algorithm is less than 10 s, while using deep learning, its running time will be more than a few hours.The research analyzes the progress of Member States in the implementation of Europe 2020 strategy targets and goals in 2016-2018. Multiple criteria decision-making approaches ap
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