Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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- 1 contrastive adversarial network
- 1 convolutional neural network
- 1 convolutional neural networks
- 1 convolutional neural networks (CNN)
- 1 convolutional sparse autoencoder
- 1 coupling fault mechanisms
- 1 cyber-physical systems
- 1 cycle life prediction
- 1 Cyclostationary Feature Detection
- 1 data augmentation
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