Abstract: Data-driven methods based on deep neural networks (DNNs) are widely employed for predicting the remaining useful life (RUL) of equipment, yielding remarkable results. However, the ...
Abstract: Seismic exploration relies heavily on high-quality data acquisition, but practical limitations often result in incomplete seismic data, violating the Nyquist sampling theorem and introducing ...
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