| Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey A Zoha, A Gluhak, MA Imran, S Rajasegarar Sensors 12 (Special Issue on Ubiquitous Sensing), 16838-16866, 2012 | 1133 | 2012 |
| Challenges in 5G: how to empower SON with big data for enabling 5G MA Imran, A Zoha IEEE Network 28 (6), 27 - 33, 2014 | 556 | 2014 |
| 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 | 138 | 2015 |
| Low-power appliance monitoring using Factorial Hidden Markov Models A Zoha, A Gluhak, M Nati, MA Imran IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks …, 2013 | 115 | 2013 |
| Health management and pattern analysis of daily living activities of people with dementia using in-home sensors and machine learning techniques Shirin Enshaeifar, Ahmed Zoha, Andreas Markides, Severin Skillman, Sahr ... PLOS ONE 13 (5), e0195605, 2018 | 114 | 2018 |
| A review on the role of nano-communication in future healthcare systems: A big data analytics perspective A Rizwan, A Zoha, R Zhang, W Ahmad, K Arshad, NA Ali, A Alomainy, ... IEEE Access 6, 41903-41920, 2018 | 77 | 2018 |
| Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review A Saboor, T Kask, A Kuusik, MM Alam, Y Le Moullec, IK Niazi, A Zoha, ... Ieee Access 8, 167830-167864, 2020 | 72 | 2020 |
| Machine learning driven approach towards the quality assessment of fresh fruits using non-invasive sensing A Ren, A Zahid, A Zoha, SA Shah, MA Imran, A Alomainy, QH Abbasi IEEE Sensors Journal 20 (4), 2075-2083, 2019 | 70 | 2019 |
| A review on the state of the art in atrial fibrillation detection enabled by machine learning A Rizwan, A Zoha, IB Mabrouk, HM Sabbour, AS Al-Sumaiti, A Alomainy, ... IEEE reviews in biomedical engineering 14, 219-239, 2020 | 68 | 2020 |
| Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia S Enshaeifar, A Zoha, S Skillman, A Markides, ST Acton, T Elsaleh, ... PloS one 14 (1), e0209909, 2019 | 65 | 2019 |
| Predicting complex events for pro-active IoT applications A Akbar, F Carrez, K Moessner, A Zoha 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), 327-332, 2015 | 45 | 2015 |
| Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves A Zahid, HT Abbas, A Ren, A Zoha, H Heidari, SA Shah, MA Imran, ... Plant Methods 15 (1), 1-13, 2019 | 39 | 2019 |
| Data-driven analytics for automated cell outage detection in Self-Organizing Networks A Zoha, A Saeed, A Imran, MA Imran, A Abu-Dayya 2015 11th International Conference on the Design of Reliable Communication …, 2015 | 39 | 2015 |
| Intelligent handover decision scheme using double deep reinforcement learning MS Mollel, AI Abubakar, M Ozturk, S Kaijage, M Kisangiri, A Zoha, ... Physical Communication 42, 101133, 2020 | 35 | 2020 |
| A SON solution for sleeping cell detection using low-dimensional embedding of MDT measurements A Zoha, A Saeed, A Imran, MA Imran, A Abu-Dayya 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and …, 2014 | 32 | 2014 |
| A learning‐based approach for autonomous outage detection and coverage optimization A Zoha, A Saeed, A Imran, MA Imran, A Abu‐Dayya Transactions on Emerging Telecommunications Technologies 27 (3), 439-450, 2016 | 31 | 2016 |
| Non-invasive hydration level estimation in human body using galvanic skin response A Rizwan, NA Ali, A Zoha, M Ozturk, A Alomainy, MA Imran, QH Abbasi IEEE Sensors Journal 20 (9), 4891-4900, 2020 | 30 | 2020 |
| 5g-enabled contactless multi-user presence and activity detection for independent assisted living AM Ashleibta, A Taha, MA Khan, W Taylor, A Tahir, A Zoha, QH Abbasi, ... Scientific Reports 11 (1), 17590, 2021 | 28 | 2021 |
| Grand challenges in IoT and sensor networks MA Imran, A Zoha, L Zhang, QH Abbasi Frontiers in Communications and Networks 1, 619452, 2020 | 28 | 2020 |
| Edge-native intelligence for 6G communications driven by federated learning: A survey of trends and challenges M Al-Quraan, L Mohjazi, L Bariah, A Centeno, A Zoha, K Arshad, ... IEEE Transactions on Emerging Topics in Computational Intelligence, 2023 | 24 | 2023 |
Muhammad Ali Imran, FIEEE, FRSE, F...Professor of Communication Systems - University of GlasgowVerified email at glasgow.ac.uk
