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 artificial intelligence
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 3-Jun-2026 | HARF: A human–AI collaborative framework for cultural heritage reconstruction with expert-guided multi-platform generative AI and systematic prompt engineering | Arzomand, K; Kalganova, T; Rustell, M |
| 8-Jul-2025 | Personalized Federated Learning for GAI-Assisted Semantic Communications | Peng, Y; Jiang, F; Dong, L; Wang, K; Yang, K |