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: Imbalanced datasets pose a significant challenge in machine learning, where rare situations can significantly impact model performance, particularly in safety-critical applications such as ...
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