关注
Ahmed Zoha, PhD
Ahmed Zoha, PhD
School of Engineering, University of Glasgow
在 glasgow.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
11332012
Challenges in 5G: how to empower SON with big data for enabling 5G
MA Imran, A Zoha
IEEE Network 28 (6), 27 - 33, 2014
5562014
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
1382015
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
1152013
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
1142018
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
772018
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
712020
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
702019
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
682020
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
642019
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
452015
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
392019
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
392015
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
352020
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
322014
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
312020
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
312016
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
282021
Grand challenges in IoT and sensor networks
MA Imran, A Zoha, L Zhang, QH Abbasi
Frontiers in Communications and Networks 1, 619452, 2020
282020
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
242023
系统目前无法执行此操作,请稍后再试。
文章 1–20