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 Oleiwi, HW
Showing results 1 to 8 of 8
| Issue Date | Title | Author(s) |
| 19-Feb-2026 | An Intelligent Deep Learning Framework for Identifying and Profiling Darknet Traffic | Mhawi, DN; Oleiwi, HW; Al-Raweshidy, H |
| 24-Apr-2022 | Cooperative SWIPT MIMO-NOMA for Reliable THz 6G Communications | Oleiwi, HW; Saeed, N; Al-Raweshidy, H |
| 14-Jun-2022 | A Cooperative SWIPT-Hybrid-NOMA Pairing Scheme considering SIC imperfection for THz Communications | Oleiwi, HW; Saeed, N; Al-Raweshidy, HS |
| 28-Jan-2023 | A Meta-Model to Predict and Detect Malicious Activities in 6G-Structured Wireless Communication Networks | Oleiwi, HW; Mhawi, DN; Al-Raweshidy, H |
| 26-Aug-2022 | MLTs_ADCNs: Machine Learning Techniques for Anomaly Detection in Communication Networks | Oleiwi, HW; Mahawi, DN; Al-Raweshidy, H |
| 14-Jun-2023 | A Secure Deep Autoencoder-based 6G Channel Estimation to Detect/Mitigate Adversarial Attacks | Oleiwi, HW; Mhawi, DN; Al-Raweshidy, HS |
| 18-Aug-2022 | SWIPT-Pairing Mechanism for Channel-Aware Cooperative H-NOMA in 6G Terahertz Communications | Oleiwi, HW; Al-Raweshidy, H |
| 26-Jul-2025 | Towards Intelligent Threat Detection in 6G Networks Using Deep Autoencoder | Mhawi, DN; Oleiwi, HW; Al-Raweshidy, H |
