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Jie Wang, Jie Yang, Jiafan He and Dongliang Peng
Semi-supervised learning has been proven to be effective in utilizing unlabeled samples to mitigate the problem of limited labeled data. Traditional semi-supervised learning methods generate pseudo-labels for unlabeled samples and train the classifier us...
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Zhuofan Xu, Jing Yan, Guoqing Sui, Yanze Wu, Meirong Qi, Zilong Zhang, Yingsan Geng and Jianhua Wang
High-voltage circuit breakers (HVCBs) handle the important tasks of controlling and safeguarding electricity networks. In the case of insufficient data samples, improving the accuracy of the traditional HVCB mechanical fault diagnosis method is difficult...
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George Manis, Dimitrios Bakalis and Roberto Sassi
Many popular entropy definitions for signals, including approximate and sample entropy, are based on the idea of embedding the time series into an m-dimensional space, aiming to detect complex, deeper and more informative relationships among samples. How...
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Shufang Bai, Yun Zeng, Fang Dao, Boyi Xiao, Xiang Li and Jing Qian
Studies show that sediment erosion is one of the main factors attributing to hydraulic turbine failure. The present paper represents an investigation into acoustic vibration signals generated by the water flow impacting the hydraulic turbine runner under...
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Balamurugan Panneerselvam, Nagavinothini Ravichandran, Shunmuga Priya Kaliyappan, Shankar Karuppannan and Butsawan Bidorn
The continuous intake of contaminated drinking water causes serious issues for human health. In order to estimate the suitability of groundwater for drinking and irrigation, and also conduct human risk assessments of various groups of people, a total of ...
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Hong Li, Bo Wan, Deping Chu, Run Wang, Guoxi Ma, Jinming Fu and Zhuocheng Xiao
Three-dimensional geological modeling is a process of interpreting geological features from limited sample data and making predictions, which can be converted into a classification task for grid units in the geological space. In sedimentary settings, it ...
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Weijiao Ye and Ziqiang Li
Guaranteeing an increase in ecologically sustainable food production is a sufficient prerequisite for the long-term development of national food security. This study?s primary goal is to determine strategies for improving the nation?s green total factor ...
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Shuai Zhang, Weizhen Wei, Xiaoliang Chen, Liyou Xu and Yuntao Cao
The combination of characteristic parameters is the key and difficult point to improving the vibration attenuation of scissor seat suspension. This paper proposes a multi-objective optimization method based on entropy weight gray correlation to optimize ...
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Hongjun Cui, Guang Chen, Minqing Zhu, Yue Su and Jingxuan Liu
A scientifically accurate assessment of tunnel health is the prerequisite for the safe maintenance and sustainability of the in-service road tunnel. The changing trend of tunnel health is not considered in existing research. Most evaluation indicators ar...
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Zach D. Merino, Jenny Farmer and Donald J. Jacobs
We present a novel nonparametric adaptive partitioning and stitching (NAPS) algorithm to estimate a probability density function (PDF) of a single variable. Sampled data is partitioned into blocks using a branching tree algorithm that minimizes deviation...
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