A digital twin is a digital representation of a physical asset that spans its lifecycle, is updated from real-time data, and uses modelling, machine learning and reasoning to help decision-making. Read more
Context. Agriculture is an important contributor to the rural economy and is a key source of greenhouse gases (GHG’s), which are also collectively known as carbon emissions. Read more
Funding providers: Engineering and Physical Sciences Research Council (EPSRC) DTP and Swansea University's Faculty of Science and Engineering. Read more
Project Description. System dynamics create challenges in the ways that machine learning is applied to the metrics drawn from communications networks. Read more
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. Read more
Today’s complex healthcare networks are plagued by problems such as high cost, varying levels of customer satisfaction, and the inability of network administrators to respond effectively to short-term variations in operations and disruptions (planned or unplanned). Read more
Artificial intelligence and data analytics applications have driven rapid changes in the world of computing in recent years, and these changes are now showing an impact on distributed and high-performance computing (HPC). Read more
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