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 fusion
Showing results 1 to 5 of 5
| Issue Date | Title | Author(s) |
|---|---|---|
| 10-May-2024 | Advancements in PCB Components Recognition Using WaferCaps: A Data Fusion and Deep Learning Approach | Starodubov, D; Danishvar, S; Abu Ebayyeh, AARM; Mousavi, A |
| 15-Dec-2022 | Data-Efficient Estimation of Remaining Useful Life for Machinery with a Limited Number of Run-to-Failure Training Sequences | Kalganova, T; Sternharz, G; Elhalwagy, A |
| 30-Jun-2022 | DEEP MULTI-MODAL SCHIZOPHRENIA DISORDER DIAGNOSIS VIA A GRU-CNN ARCHITECTURE | Masoudi, B; Danishvar, S |
| 23-Jun-2021 | Fault Diagnosis Approach of Main Drive Chain in Wind Turbine Based on Data Fusion | Xu, Z; Yang, P; Zhao, Z; Lai, CS; Lai, LL; Wang, X |
| 10-Jul-2025 | A Novel Fault Diagnosis Method for Multistage Conversion Circuits Based on Data Fusion | Wang, L; Wang, Z; Xu, C; Lu, G; Hua, L |