| 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 | 822 | 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 | 403 | 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 | 98 | 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 | 82 | 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 | 46 | 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 | 36 | 2018 |
| 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 | 33 | 2015 |
| 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 | 31 | 2015 |
| 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 | 27 | 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 | 24 | 2016 |
| 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 | 17 | 2019 |
| Design and Implementation of Smart Billing and Automated Meter Reading System for Utility Gas MF Khan, A Zoha, RL Ali International Conference on Information and Emerging Technologies (ICIET …, 2007 | 16 | 2007 |
| Acoustic and device feature fusion for load recognition A Zoha, A Gluhak, M Nati, MA Imran, S Rajasegarar 2012 6th IEEE International Conference Intelligent Systems, 386-392, 2012 | 15 | 2012 |
| 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 | 13 | 2019 |
| Leveraging intelligence from network CDR data for interference aware energy consumption minimization A Zoha, A Saeed, H Farooq, A Rizwan, A Imran, MA Imran IEEE Transactions on Mobile Computing 17 (7), 1569-1582, 2017 | 13 | 2017 |
| Energy efficient resource allocation for 5G heterogeneous networks A Saeed, E Katranaras, A Zoha, A Imran, MA Imran, M Dianati 2015 IEEE 20th international workshop on computer aided modelling and design …, 2015 | 13 | 2015 |
| 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 | 11 | 2019 |
| 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 | 10 | 2020 |
| A machine learning framework for detection of sleeping cells in LTE network A Zoha, A Imran, A Abu-Dayya, A Saeed Proceedings of the Machine Learning and Data Analysis Symposium, 2014 | 8 | 2014 |
| Reinforcement learning driven energy efficient mobile communication and applications SM Asad, M Ozturk, RNB Rais, A Zoha, S Hussain, QH Abbasi, MA Imran 2019 IEEE International Symposium on Signal Processing and Information …, 2019 | 5 | 2019 |
Muhammad Ali ImranProfessor of Communication Systems - University of GlasgowVerified email at glasgow.ac.uk
