Projects per year
The Smart Emerging Technologies Lab investigates research which aims to develop more proactive, intelligent, adaptive or autonomous systems that can learn, adapt and make decisions without the need for human control.
SET research informs and contributes to a new level of learning and intelligence where, for example, telecommunications networks can observe and predict the status of the systems that carry different types and classes of traffic (e.g. HD video, IP TV, medical applications, secure traffic, etc.) and adapt behaviours of the network protocols and connected devices for flow control, congestions control, queueing and routeing accordingly.
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BabyBreathe Trial (A randomised controlled trial of a complex intervention to prevent return to smoking postpartum)
1/10/20 → 31/12/23
Newman, J. L., Phillips, J. S. & Cox, S. J., May 2021, In : IEEE Journal of Biomedical and Health Informatics. 25, 5, p. 1814-1823 10 p., 9201308.
Research output: Contribution to journal › ArticleOpen AccessFile13 Downloads (Pure)
A Review on Communication Aspects of Demand Response Management for Future 5G IoT- Based Smart GridsAhmadzadeh, S., Parr, G. & Zhao, W., 21 May 2021, In : IEEE Access. 9, p. 77555-77571 17 p.
Research output: Contribution to journal › ArticleOpen AccessFile6 Downloads (Pure)
Phillips, J. S., Newman, J. L. & Cox, S. J., 2 Mar 2021, In : Otolaryngology - Head and Neck Surgery.
Research output: Contribution to journal › ArticleOpen AccessFile2 Downloads (Pure)
Prize: Prize (including medals and awards)