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.
Browsing by Subject generative adversarial network (GAN)
Showing results 1 to 6 of 6
| Issue Date | Title | Author(s) |
|---|---|---|
| 22-Apr-2026 | EEG-GANet: Simulating Electroencephalogram Data to Address Sample Imbalance in P300 Speller | Lou, Xicheng; Li, Xinwei; Meng, Hongying; Li, Peiyang; Zhong, Lisha; Li, Zhangyong |
| 8-Aug-2022 | Evolutionary ensemble generative adversarial learning for identifying terrorists among high-speed rail passengers | Zheng, Y-J; Gao, C-C; Huang, Y-J; Sheng, W-G; Wang, Z |
| 16-Aug-2024 | Image-based virtual try-on: Fidelity and simplification | Islam, T; Miron, A; Liu, X; Li, Y |
| 10-Dec-2021 | An Improved Capsule Network (WaferCaps) for Wafer Bin Map Classification Based on DCGAN Data Upsampling | Abu Ebayyeh, AARM; Danishvar, S; Mousavi, A |
| 17-May-2024 | StyleVTON: A multi-pose virtual try-on with identity and clothing detail preservation | Islam, T; Miron, A; Liu, X; Li, Y |
| 12-Dec-2022 | SVTON: Simplified Virtual Try-On | Islam, T; Miron, A; Liu, X; Li, Y |