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-driven predictive model
Showing results 1 to 1 of 1
| Issue Date | Title | Author(s) |
|---|---|---|
| 18-Aug-2023 | Toward automated life cycle assessment for additive manufacturing: A systematic review of influential parameters and framework design | Naser, AZ; Defersha, F; Pei, E; Zhao, YF; Yang, S |