… Intelligence 2.0 Plan,” which focused on big data, intelligent … computing, machine learning,
and swarm intelligence.The … augmented through the incorporation of artificial intelligence …

… It has also coincided with the decisive augmentation of China’s overall security apparatus to
… In the early 1990s Wang was a well-published academic author; a public intellectual known …

… intelligence as an essential element of the smart factory, which involves the development and
implementation of artificial intelligence (… -processing methods for data augmentation in this …

… multi-mode data augmentation and intelligent fault diagnosis of the gearbox … intelligent
fault diagnosis models based on deep learning, which can improve the diagnosis accuracy from …

… : Deep learning has been widely used in the field of rotating machinery fault diagnosis …
At the same time,adding Transferable Semantic Augmentation (TSA) regular items improved …

… Deep learning-based cross-sensor domain adaptation for … of intelligent optimization algorithms
in mechanical fault … network for cross-domain fault diagnosis of rotary machinery[J]. IEEE …

… from Wuhan University of Technology in 2019. His research interest covers federated learning,
fault diagnosis, and intelligent … : a secure federated deep learning mechanism for data …

… integrate intelligent deep learning approaches and intelligent decision-making techniques,
which can be used … In the data mining module, fault diagnosis and prediction are realized by …

… Therefore, a transition state detection method for multimodal switching … data and device
process mechanism, wavelet based noise reduction and smoothing are used for industrial data …

… Chapter 3 gives brief information about deep learning models … In this study, lots of data
augmentation methods are used. In … for the development of a smart camera that can automatically …