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Open Access research that is solving urban design problems...

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.

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Jump to: 2021
Number of items: 3.

2021

Acciarini, Giacomo and Pinto, Francesco and Letizia, Francesca and Martinez-Heras, José A. and Merz, Klaus and Bridges, Christopher and Baydin, Atılım Güneş (2021) Kessler : A machine learning library for spacecraft collision avoidance. In: 8th European Conference on Space Debris, 2021-04-20 - 2021-04-23, ESA/ESOC.

Acciarini, Giacomo and Vasile, Massimiliano (2021) A network-based evolutionary model of the space environment. In: 8th European Conference on Space Debris, 2021-04-20 - 2021-04-23, ESA/ESOC.

Greco, C. and Sánchez, L. and Manzi, M. and Vasile, M. (2021) A robust Bayesian agent for optimal collision avoidance manoeuvre planning. In: 8th European Conference on Space Debris, 2021-04-20 - 2021-04-23, ESA/ESOC.

This list was generated on Wed Mar 29 20:54:11 2023 BST.