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Deep Learning (DL) based methods for Pedestrian-Level Wind (PLW) assessments
With the complexity of modern urban areas, pedestrian wind environment analysis becomes a critical factor in urban and building planning design, helping to ensure the overall wellbeing, safety, and comfort in pedestrian zones. Read more
4-year PhD Studentship: Using supermarket loyalty cards data for cancer risk factor prediction
Shopping history records, collected via purchases tracked on loyalty cards, can provide a new perspective on lifestyle choices and behaviours and how these relate to health outcomes such as cancer. Read more
Planning and Design of Distribution Networks with Integration of Smart Grid Technologies
Research Group:
Communication and Networks
The UK Government’s target is to achieve 15% of electricity generation from renewable energy sources (RES) by 2020. The installation of large amounts of RES in distribution networks introduces several economic and technical challenges to distribution network operators (DNOs). Read more
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