| RSSI Fingerprinting-based Localization Using Machine Learning in LoRa Networks M Anjum, MA Khan, SA Hassan, A Mahmood, HK Qureshi, M Gidlund IEEE Internet of Things Magazine 3 (4), 53-59, 2020 | 64 | 2020 |
| Analysis of RSSI fingerprinting in LoRa networks M Anjum, MA Khan, SA Hassan, A Mahmood, M Gidlund 2019 15th International Wireless Communications & Mobile Computing …, 2019 | 45 | 2019 |
| A Battery Health Monitoring Method Using Machine Learning: A Data-Driven Approach SS Sheikh, M Anjum, MA Khan, SA Hassan, HA Khalid, A Gastli, ... Energies 13 (14), 3658, 2020 | 39 | 2020 |
| Analysis of time-weighted LoRa-based positioning using machine learning M Anjum, MA Khan, SA Hassan, H Jung, K Dev Computer Communications, 2022 | 12 | 2022 |
| Applications of LPWANs MA Khan, M Anjum, SA Hassan, H Jung Low-Power Wide-Area Networks: Opportunities, Challenges, Risks and Threats …, 2023 | 2 | 2023 |
| Dedicated versus Shared Element-Allotment in IRS-aided Wireless Systems: When to Use What? M Anjum, MA Khan, S Basharat, SA Hassan, H Jung 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-6, 2023 | 1 | 2023 |
| Machine Learning-Based Resource Allocation for IRS-Aided UAV Networks MA Khan, M Anjum, SA Hassan, H Jung GLOBECOM 2023-2023 IEEE Global Communications Conference, 3051-3057, 2023 | | 2023 |
| A Multi-Level ML-Based Optimization Framework for IIoT Networks with Distributed IRS Assisted UAVs M Anjum, MA Khan, SA Hassan, H Jung, A Mahmood, M Gidlund 2023 IEEE Globecom Workshops (GC Wkshps), 1338-1343, 2023 | | 2023 |
| Theoretical Landscape of LPWANs M Anjum, MA Khan, SA Hassan, H Jung Low-Power Wide-Area Networks: Opportunities, Challenges, Risks and Threats, 3-37, 2023 | | 2023 |
| Artificial Intelligence in Mobile and Modern Wireless Networks MA Khan, M Anjum, SA Hassan, H Jung AI and Its Convergence With Communication Technologies, 43-96, 2023 | | 2023 |
Mahnoor AnjumDoctoral Researcher, University of New South Wales, SydneyE-mail confirmado em unsw.edu.au
