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 support vector machine
Showing results 1 to 6 of 6
| Issue Date | Title | Author(s) |
| 2020 | Development of an E-nose System using Machine Learning Methods to Predict Ventilator-Associated Pneumonia | Liao, Y-H; Shih, C-H; Abbod, M; Shieh, J-S; Hsiao, Y-J |
| 1-Dec-2019 | Extraction of Image Parking Spaces in Intelligent Video Surveillance Systems | Bohush, R; Yarashevich, P; Ablameyko, S; Kalganova, T |
| 7-Nov-2019 | A Fast Automatic Holoscopic 3D Micro-gesture Recognition System for Immersive Applications | Qin, R; Liu, Y; Swash, M; Li, M; Meng, H; Lei, T; Chen, T |
| 28-Aug-2024 | Fault Detection of Wheelset Bearings through Vibration-Sound Fusion Data Based on Grey Wolf Optimizer and Support Vector Machine | Wang, T; Meng, H; Zhang, F; Qin, R |
| 2019 | Machine Learning Methods Applied to Predict Ventilator-Associated Pneumonia with Pseudomonas aeruginosa Infection via Sensor Array of Electronic Nose in Intensive Care Unit | Liao, Y-H; Wang, Z-C; Zhang, F-G; Abbod, MF; Shih, C-H; Shieh, J-S |
| 8-Aug-2020 | A multi-layer approach to DN 50 electric valve fault diagnosis using shallow-deep intelligent models | Liu, Y-K; Zhou, W; Ayodeji, A; Zhou, X-Q; Peng, M-J; Chao, N |
