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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.

Or explore all of Strathclyde's Open Access research...

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Number of items: 3.

B

Basu, Amlan and Kaewrak, Keerati and Petropoulakis, Lykourgos and Di Caterina, Gaetano and Soraghan, John J.; (2020) Modified Capsule Neural Network (Mod-CapsNet) for indoor home scene recognition. In: 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, GBR. ISBN 9781728169279

J

Jovanovic, Raka and Bayhan, Sertac and Bayram, Islam Safak; (2020) An online model for scheduling electric vehicle charging at park-and-ride facilities for flattening solar duck curves. In: 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, GBR. ISBN 9781728169279

M

Marchetti, Francesco and Minisci, Edmondo and Riccardi, Annalisa; (2020) Towards intelligent control via genetic programming. In: 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, GBR. ISBN 9781728169279

This list was generated on Sat Mar 25 22:45:58 2023 GMT.