The Department of Architecture reflects the multi and trans-disciplinary nature of architecture and urbanism, focussing on real-world problems. This includes the work of the Urban Design Studies Unit (UDSU), which is pioneering 'urban morphometrics', harnessing spatial data science, urban geo-data processing, and machine learning approaches to better understand cities, their form, functions and impact, with the ultimate goal of making them more resilient.
Explore some of this Open Access research from the Departments of Architecture.
Di Caterina, Gaetano and Soraghan, John; (2011) An abandoned and removed object detection algorithm in a reactive smart surveillance system. In: 17th DSP 2011International Conference on Digital Signal Processing. IEEE, pp. 1-6. ISBN 9781457702723
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