Abstract: Deep learning (DL) networks have recently achieved excellent performance on image compressed sensing. However, most existing methods rely on burdened and complex network structures, ...

Abstract: Many published journals used hybrid deep learning methods to predict batteries’ remaining useful life by adopting different rationales to select and combine deep learning methods aiming to ...

Guangdong Provincial Key Laboratory of New Energy Materials Service Safety, Shenzhen Key Laboratory of Polymer Science and Technology, College of Materials Science and Engineering, Shenzhen University ...

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