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) |
|---|---|---|
| 27-Mar-2023 | Differentiable channel pruning guided via attention mechanism: a novel neural network pruning approach | Cheng, H; Wang, Z; Ma, L; Wei, Z; Alsaadi, FE; Liu, X |
| 20-Apr-2023 | Progressive attention integration-based multi-scale efficient network for medical imaging analysis with application to COVID-19 diagnosis | Xie, T; Wang, Z; Li, H; Wu, P; Huang, H; Zhang, H; Alsaadi, FE; Zeng, N |
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- 2 2023