| Smart routing management framework exploiting dynamic data resources of cross-layer design and machine learning approaches for mobile cognitive radio networks: A survey QM Salih, MA Rahman, F Al-Turjman, ZRM Azmi IEEE Access 8, 67835-67867, 2020 | 28 | 2020 |
| Parallel machine learning algorithms SA Salman, SA Dheyab, QM Salih, WA Hammood Mesopotamian Journal of Big Data 2023, 12-15, 2023 | 21 | 2023 |
| L-CAQ: Joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks MA Rahman, AT Asyhari, MZA Bhuiyan, QM Salih, KZB Zamli Journal of Network and Computer Applications 113, 26-35, 2018 | 20 | 2018 |
| Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications QM Salih, MA Rahman, AT Asyhari, MK Naeem, M Patwary, R Alturki, ... Digital Communications and Networks 9 (2), 367-382, 2023 | 13 | 2023 |
| Traveling distance estimation to mitigate unnecessary handoff in mobile wireless networks MA Rahman, QM Salih, AT Asyhari, S Azad Annals of Telecommunications 74, 717-726, 2019 | 9 | 2019 |
| Design a technique for minimizing unnecessary handoff in mobile wireless networks MA Rahman, QM Salih, MFB Zolkipli 2015 4th International Conference on Software Engineering and Computer …, 2015 | 6 | 2015 |
| The Art of Using Cross-Layer Design in Cognitive Radio Networks QM Salih, MA Rahman, MZA Bhuiyan, ZRM Azmi Security, Privacy, and Anonymity in Computation, Communication, and Storage …, 2017 | 2 | 2017 |
| A Review and Bibliometric Analysis of the Current Studies for the 6G Networks Qusay M. Salih, Md. Arafatur Rahman, Ahmad Firdaus, Mohammed Rajih Jassim ... Computer Modeling in Engineering \& Sciences 140, 2165--2206, 2024 | | 2024 |
