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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| Issue Date | Title | Author(s) |
|---|---|---|
| 2017 | A survey of deep neural network architectures and their applications | Liu, W; Wang, Z; Liu, X; Zeng, N; Liu, Y; Alsaadi, FE |
| 2017 | Event-based state estimation for a class of complex networks with time-varying delays: A comparison principle approach | Zhang, W; Wang, Z; Liu, Y; Ding, D; Alsaadi, FE |