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.
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| Issue Date | Title | Author(s) |
|---|---|---|
| 2020 | Design of Smart Energy Generation and Demand Response System in Saudi Arabia | Aljahdali, Fahad |
| 2023 | Anomaly detection for IoT networks using machine learning | Abdulla, Husain |
| 2020 | Forex trend forecasting based on long short term memory and its variations with hybrid activation functions | Zhou, Tianyu |
| 31-Jul-2024 | Intelligent Immersion: The current landscape of AI tools in the Mixed Reality development pipeline for creative experiences | Dima, M; Daylamani-Zad, D |
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