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 Author Nilavalan, N
Showing results 1 to 5 of 5
| Issue Date | Title | Author(s) |
|---|---|---|
| 2024 | Advancing cellular communication testing through Artificial Intelligence | Taheri, Sayed |
| 27-Jan-2023 | Backhaul in 5G systems for developing countries: A literature review | Sawad, I; Nilavalan, N; Al-Raweshidy, H |
| 17-Jun-2023 | Deep Learning Based Sub-Nyquist Modulation Recognition | Li, S; Hu, S; Nilavalan, N |
| 2025 | Early prediction of diabetes mellitus type II in Oman using Artificial Intelligence | Al Sadi, Khoula Ali Saleh |
| 2024 | Integrated cooperative SWIPT THz-NOMA and secure DLTs for efficient 6G communications | Oleiwi, Haider W. |