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 deep transfer learning
Showing results 1 to 4 of 4
| Issue Date | Title | Author(s) |
|---|---|---|
| 13-Feb-2023 | Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016 | Chen, X; Yang, R; Xue, Y; Huang, M; Ferrero, R; Wang, Z |
| 29-Dec-2023 | A new particle-swarm-optimization-assisted deep transfer learning framework with applications to outlier detection in additive manufacturing | Fang, J; Wang, Z; Liu, W; Chen, L; Liu, X |
| 19-Aug-2024 | A Review on Transferability Estimation in Deep Transfer Learning | Xue, Y; Yang, R; Chen, X; Liu, W; Wang, Z; Liu, X |
| 4-Dec-2023 | Sub-Band Cascaded CSP-based Deep Transfer Learning for Cross-Subject Lower Limb Motor Imagery Classification | Wei, M; Yang, R; Huang, M; Ni, J; Wang, Z; Liu, X |