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 Data Augmentation
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 2025 | Graph signal representations for EEG analysis and machine learning classification | Selçuk, Cengiz |
| 2025 | Machine learning for alloy design: Interpolation, extrapolation, and dataset integration in the prediction of 6xxx-series aluminium alloy properties | Birchall, Adam |