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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: 2022
Number of items: 5.

2022

Michalkova, Dominika and Parra Rodriguez, Mario and Moshfeghi, Yashar (2022) Confidence perceptions as part of searcher's cognitive context. In: Advanced Online & Onsite Course & Symposium on Artificial Intelligence & Neuroscience, 2022-09-18 - 2022-09-22.

Lamprou, Zenon and Pollick, Frank E. and Moshfeghi, Yashar (2022) Role of punctuation in semantic mapping between brain and transformer models. In: Advanced Online & Onsite Course & Symposium on Artificial Intelligence & Neuroscience, 2022-09-18 - 2022-09-22.

Pinkosova, Zuzana and McGeown, William and Moshfeghi, Yashar (2022) Revisiting neurological aspects of relevance : an EEG study. In: Advanced Online & Onsite Course & Symposium on Artificial Intelligence & Neuroscience, 2022-09-18 - 2022-09-22.

Paisalnan, Sakrapee and Moshfeghi, Yashar and Pollick, Frank E. (2022) Neural correlates of satisfaction of an information need. In: Advanced Online & Onsite Course & Symposium on Artificial Intelligence & Neuroscience, 2022-09-18 - 2022-09-22.

Kingphai, Kunjira and Moshfeghi, Yashar (2022) On time series cross-validation for deep learning classification model of mental workload levels based on EEG signals. In: Advanced Online & Onsite Course & Symposium on Artificial Intelligence & Neuroscience, 2022-09-18 - 2022-09-22.

This list was generated on Sun Mar 26 00:06:09 2023 GMT.