AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app A Imran, I Posokhova, HN Qureshi, U Masood, MS Riaz, K Ali, CN John, ... Informatics in medicine unlocked 20, 100378, 2020 | 637 | 2020 |
Challenges in 5G: how to empower SON with big data for enabling 5G A Imran, A Zoha, A Abu-Dayya IEEE network 28 (6), 27-33, 2014 | 571 | 2014 |
A survey of self organisation in future cellular networks OG Aliu, A Imran, MA Imran, B Evans IEEE Communications Surveys & Tutorials 15 (1), 336-361, 2012 | 536 | 2012 |
Edge computing in smart health care systems: Review, challenges, and research directions M Hartmann, US Hashmi, A Imran Transactions on Emerging Telecommunications Technologies 33 (3), e3710, 2022 | 224 | 2022 |
Coordinated multi-point clustering schemes: A survey S Bassoy, H Farooq, MA Imran, A Imran IEEE Communications Surveys & Tutorials 19 (2), 743-764, 2017 | 207 | 2017 |
Separation framework: An enabler for cooperative and D2D communication for future 5G networks HAU Mustafa, MA Imran, MZ Shakir, A Imran, R Tafazolli IEEE Communications Surveys & Tutorials 18 (1), 419-445, 2015 | 175 | 2015 |
Control-data separation architecture for cellular radio access networks: A survey and outlook A Mohamed, O Onireti, MA Imran, A Imran, R Tafazolli IEEE Communications Surveys & Tutorials 18 (1), 446-465, 2016 | 161 | 2016 |
A cell outage management framework for dense heterogeneous networks O Onireti, A Zoha, J Moysen, A Imran, L Giupponi, MA Imran, ... IEEE Transactions on Vehicular Technology 65 (4), 2097-2113, 2015 | 146 | 2015 |
Planning wireless cellular networks of future: Outlook, challenges and opportunities A Taufique, M Jaber, A Imran, Z Dawy, E Yacoub IEEE Access 5, 4821-4845, 2017 | 139 | 2017 |
Self-healing in emerging cellular networks: Review, challenges, and research directions A Asghar, H Farooq, A Imran IEEE Communications Surveys & Tutorials 20 (3), 1682-1709, 2018 | 112 | 2018 |
Mobility prediction for handover management in cellular networks with control/data separation A Mohamed, O Onireti, SA Hoseinitabatabaei, M Imran, A Imran, ... 2015 IEEE International Conference on Communications (ICC), 3939-3944, 2015 | 88 | 2015 |
Network densification: Challenges and opportunities in enabling 5G B Romanous, N Bitar, A Imran, H Refai 2015 IEEE 20th international workshop on computer aided modelling and design …, 2015 | 82 | 2015 |
Can machine learning be used to recognize and diagnose coughs? C Bales, M Nabeel, CN John, U Masood, HN Qureshi, H Farooq, ... 2020 International Conference on e-Health and Bioengineering (EHB), 1-4, 2020 | 72 | 2020 |
Mobility management in emerging ultra-dense cellular networks: A survey, outlook, and future research directions SMA Zaidi, M Manalastas, H Farooq, A Imran IEEE Access 8, 183505-183533, 2020 | 63 | 2020 |
A machine learning based 3D propagation model for intelligent future cellular networks U Masood, H Farooq, A Imran 2019 IEEE global communications conference (GLOBECOM), 1-6, 2019 | 62 | 2019 |
Service level agreements for 5G and beyond: overview, challenges and enablers of 5G-healthcare systems HN Qureshi, M Manalastas, SMA Zaidi, A Imran, MO Al Kalaa Ieee Access 9, 1044-1061, 2020 | 59 | 2020 |
Artificial intelligence-powered mobile edge computing-based anomaly detection in cellular networks B Hussain, Q Du, A Imran, MA Imran IEEE Transactions on Industrial Informatics 16 (8), 4986-4996, 2019 | 59 | 2019 |
Mobile edge computing-based data-driven deep learning framework for anomaly detection B Hussain, Q Du, S Zhang, A Imran, MA Imran IEEE Access 7, 137656-137667, 2019 | 59 | 2019 |
Spatiotemporal mobility prediction in proactive self-organizing cellular networks H Farooq, A Imran IEEE Communications Letters 21 (2), 370-373, 2016 | 58 | 2016 |
Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey A Ijaz, M Nabeel, U Masood, T Mahmood, MS Hashmi, I Posokhova, ... Informatics in Medicine Unlocked 29, 100832, 2022 | 54 | 2022 |