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...

Strathprints

Browse by Journal or other publication

Up a level

Group by: Publication Date | Item type | No Grouping

Jump to: 2020

Number of items: 2.

2020

Lei, Yi and Yao, Xifan and Chen, Wocheng and Zhang, Junming and Mehnen, Jorn and Yang, Erfu (2020) Multiple object detection of workpieces based on fusion of deep learning and image processing. In: IEEE World Congress on Computational Intelligence 2020, 2020-07-19 - 2020-07-24. (In Press)

Jiang, Junjie and Yao, Xifan and Yang, Erfu and Mehnen, Jorn (2020) An improved adaptive genetic algorithm for mobile robot path planning analogous to TSP with constraints on city priorities. In: IEEE World Congress on Computational Intelligence 2020, 2020-07-19 - 2020-07-24.

This list was generated on Tue Mar 21 23:42:01 2023 GMT.