Tiny micro- and nanoplastic fragments seem to be turning up everywhere, including one of the most well-protected parts of the ...
Abstract: Rolling bearing fault diagnosis plays a crucial role in ensuring the safety and reliability of rotary machine, and some methods that employ deep-learning technology are grounded on the ...
The growth of urban landscapes has genarally reduced biodiversity worldwide. Invertebrates have explored different environments, and it usually takes different sampling techniques to get a ...
Abstract: Aiming at the problem of scarce samples and complex features of rare faults in distribution networks, this paper proposes an intelligent diagnosis method based on small sample learning.
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