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 feature enhancement
Showing results 1 to 3 of 3
| Issue Date | Title | Author(s) |
|---|---|---|
| 10-Mar-2026 | Collaboration Better Than Integration: A Novel Time-Frequency-Assisted Deep Feature Enhancement Mechanism for Few-Shot Transfer Learning in Anomaly Detection | Mao, W; Wu, J; Du, S; Feng, K; Wang, Z |
| 4-Jun-2023 | Local-Global Siamese Network with Efficient Inter-Scale Feature Learning for Change Detection in VHR Remote Sensing Images | Zhang, Y; Lei, T; Han, S; Xu, Y; Nandi, AK |
| 29-Apr-2024 | Research On Discrimination Method Of Carbon Deposit Degree Of Automobile Engine Based On Deep Learning | Huang, Q; Chen, Y; Wang, Z; Chen, X; Nandi, A; Li, M; Jin, Y |