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 autoencoder
Showing results 1 to 3 of 3
| Issue Date | Title | Author(s) |
|---|---|---|
| 18-Mar-2021 | Deep autoencoder with localized stochastic sensitivity for short-term load forecasting | Wang, T; Lai, CS; Ng, WWY; Pan, K; Zhang, M; Vaccaro, A; Lai, LL |
| 14-Jun-2023 | A Secure Deep Autoencoder-based 6G Channel Estimation to Detect/Mitigate Adversarial Attacks | Oleiwi, HW; Mhawi, DN; Al-Raweshidy, HS |
| 26-Jul-2025 | Towards Intelligent Threat Detection in 6G Networks Using Deep Autoencoder | Mhawi, DN; Oleiwi, HW; Al-Raweshidy, H |