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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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Article

Padfield, Natasha and Ren, Jinchang and Murray, Paul and Qing, Chunmei and Zhao, Huimin and Zheng, Jiangbin (2021) Multi-segment majority voting decision fusion for MI EEG brain-computer interfacing. Cognitive Computation, 13 (6). pp. 1484-1495. ISSN 1866-9964

Padfield, Natasha and Ren, Jinchang and Murray, Paul and Zhao, Huimin (2021) Sparse learning of band power features with genetic channel selection for effective classification of EEG signals. Neurocomputing, 463. pp. 566-579. ISSN 0925-2312

Padfield, Natasha and Zabalza, Jaime and Zhao, Huimin and Vargas, Valentin Masero and Ren, Jinchang (2019) EEG-based brain-computer interfaces using motor-imagery : techniques and challenges. Sensors, 19 (6). 1423. ISSN 1424-8220

This list was generated on Sun Mar 26 00:10:33 2023 GMT.