Research output per year
Research output per year
Project Details
Description
To apply machine learning and advanced data analytics expertise in order to develop a diagnostic and prognostic capability, using existing MEMS-based sensor technology, for advanced leak detection, mapping and network visualisation services to water utilities in the UK.
| Short title | KTP - FidoTech |
|---|---|
| Status | Finished |
| Effective start/end date | 9/06/20 → 8/06/23 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Research output
- 2 Article
-
Review on condition monitoring techniques for water pipelines
Latif, J., Shakir, M. Z., Edwards, N., Jaszczykowski, M., Ramzan, N. & Edwards, V., 30 Apr 2022, In: Measurement. 193, 16 p., 110895.Research output: Contribution to journal › Article › peer-review
Open AccessFile17 Citations (Scopus)130 Downloads (Pure) -
Spatial and social paradigms for interference and coverage analysis in underlay D2D network
Ul Mustafa, H. A., Shakir, M. Z., Imran, M. A. & Tafazolli, R., 28 Apr 2017, In: IEEE Transactions on Vehicular Technology. 66, 10, p. 9328-9337 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Citations (Scopus)198 Downloads (Pure)
Activities
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Keynote Talk: Artificial Intelligence: Paving the Way Towards Digital Futures
Shakir, M. Z. (Keynote speaker)
27 Sept 2022 → 28 Sept 2022Activity: Talk or presentation › Invited talk
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Internet of Things enabled Remote Condition Monitoring
Shakir, M. Z. (Speaker)
26 Aug 2020Activity: Other › Types of Business and Community - CPD delivery/organisation of courses for externals (in kind)