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 Author Liu, Weibo
Showing results 1 to 3 of 3
| Issue Date | Title | Author(s) |
|---|---|---|
| 7-Aug-2026 | Data-centric deep learning for defect detection in fiber composite materials: A review of algorithms, challenges, and emerging trends | Han, Juntao; Wang, Zidong; Liu, Weibo; Song, Baoye; Wang, Chuang; Liu, Xiaohui |
| 2020 | Novel particle swarm optimization algorithms with applications to healthcare data analysis | Liu, Weibo |
| 6-Aug-2026 | Robust Learning With Noisy Labels via Class-Subspace-Guided Contrastive Purification for Anomaly Detection in Industrial Data Analytics | Hong, Jiale; Wang, Zidong; Liu, Weibo; Shen, Bo; Fang, Jingzhong; Liu, Xiaohui |