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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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Mu-Lin Huang, Xue-Mei He, Ming-Yue Du, Peng-Fei Jiang and Xue-Feng Wang
High-temperature and high-pressure (HTHP)-treated diamonds have attracted attention all over the world due to their vivid colors. In order to explore a new method for the rapid and non-destructive identification of HTHP-treated diamonds, in this paper, f...
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Max Käding and Steffen Marx
Acoustic emission monitoring (AEM) has emerged as an effective technique for detecting wire breaks resulting from, e.g., stress corrosion cracking, and its application on prestressed concrete bridges is increasing. The success of this monitoring measure ...
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Jose Luis Garcia-Soidan, Raquel Leiros-Rodriguez, Manuel Isorna-Folgar and Vicente Romo-Perez
(1) Background: The purpose of this study was to analyze the number of injuries in the canoe and kayak disciplines. (2) Methods: A cross-sectional and retrospective epidemiological study was conducted on a convenience sample of elite canoeists and kayake...
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Panagiota Tziovara, Christina Antoniadou and Maria Antoniadou
In the area of dental healthcare services, where patients and professionals deal with multiple auditory stimuli, this cross-sectional study reports on the various dynamics of sound preferences, noise obstacles, and the profound impact of music on anxiety...
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