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) |
|---|---|---|
| 2016 | Deep belief networks for quantitative analysis of a gold immunochromatographic strip | Zeng, N; Wang, Z; Zhang, H; Liu, W; Alsaadi, FE |
| 2017 | A survey of deep neural network architectures and their applications | Liu, W; Wang, Z; Liu, X; Zeng, N; Liu, Y; Alsaadi, FE |
| 29-Jul-2021 | An improved generative adversarial network with modified loss function for crack detection in electromagnetic nondestructive testing | Tian, L; Wang, Z; Liu, W; Cheng, Y; Alsaadi, FE; Liu, X |
| 4-Sep-2021 | A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests | Tian, L; Wang, Z; Liu, W; Cheng, Y; Alsaadi, FE; Liu, X |
| 14-Aug-2020 | A novel randomised particle swarm optimizer | Liu, W; Wang, Z; Zeng, N; Yuan, Y; Alsaadi, FE; Liu, X |
| 20-Oct-2021 | Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications | Tian, L; Wang, Z; Liu, W; Cheng, Y; Alsaadi, FE; Liu, X |