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 Regression
Showing results 1 to 4 of 4
| Issue Date | Title | Author(s) |
|---|---|---|
| 2017 | Artificial intelligent system for automatic depression level analysis through visual and vocal expressions | Jan, A; Meng, H; Gaus, Y; Zhang, F |
| 2018 | Estimating power factor of induction motors at any loading conditions using support vector regression (SVR) | Khodapanah, M; Zobaa, AF; Abbod, M |
| 24-Aug-2020 | Load forecasting based on deep neural network and historical data augmentation | Lai, CS; Mo, Z; Wang, T; Yuan, H; Ng, WWY; Lai, LL |
| Jun-2020 | Regressive Event-Tracker: A Causal Prediction Modelling of Degradation in High Speed Manufacturing | Angadi, V; Mousavi, A; Bartolome, D; Tellarini, M; Fazziani, M |