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 networks
Showing results 1 to 5 of 5
| Issue Date | Title | Author(s) |
|---|---|---|
| 12-May-2023 | Automatic Emotion Recognition from EEG Signals Using a Combination of Type-2 Fuzzy and Deep Convolutional Networks | Baradaran, F; Farzan, A; Danishvar, S; Sheykhivand, S |
| 19-Sep-2020 | Deep learning in the construction industry: A review of present status and future innovations | Akinosho, TD; Oyedele, L; Bilal, M; Ajayi, A; Delgado, M; Akinade, O; Ahmed, A |
| 28-Mar-2024 | A novel scenario generation method of renewable energy using improved VAEGAN with controllable interpretable features | Li, Z; Peng, X; Cui, W; Xu, Y; Liu, J; Yuan, H; Lai, CS; Lai, LL |
| 30-Oct-2023 | Segmentation of Brain Tumor Using a 3D Generative Adversarial Network | Kalejahi, BK; Meshgini, S; Danishvar, S |
| 11-Jun-2021 | Stroke Risk Prediction with Hybrid Deep Transfer Learning Framework | Chen, J; Chen, Y; Li, J; Wang, J; Lin, Z; Nandi, AK |