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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 | 2021 | 2020 | 2019
Number of items: 6.

2022

Basu, Amlan and Kaewrak, Keerati and Petropoulakis, Lykourgos and Di Caterina, Gaetano and Soraghan, John J. (2022) Indoor home scene recognition through instance segmentation using a combination of neural networks. In: 2022 IEEE World Conference on Applied Intelligence and Computing, 2022-06-17 - 2022-06-19, Rajkiya Engineering College.

Basu, Amlan and Kaewrak, Keerati and Petropoulakis, Lykourgos and Di Caterina, Gaetano and Soraghan, John (2022) 3-Dimensional object recognition using 1-dimensional capsule neural networks. In: IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI), 2022-08-25 - 2022-08-27, Mahindra University.

2021

Kaewrak, Keerati and Soraghan, John and Di Caterina, Gaetano and Grose, Derek; Crimi, Alessandro and Bakas, Spyridon, eds. (2021) TwoPath U-Net for automatic brain tumor segmentation from multimodal MRI data. In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Springer International Publishing AG, Cham, Switzerland. ISBN 978-3-030-72087-2 (In Press)

2020

Kaewrak, Keerati and Soraghan, John and Di Caterina, Gaetano and Grose, Derek (2020) Automatic brain tumour regions segmentation using modified U-Net. Academic Journal for Thai Researchers in Europe, 1 (1). pp. 45-48. ISSN 2730-2784

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

2019

Kaewrak, Keerati and Soraghan, John and Di Caterina, Gaetano and Grose, Derek (2019) Modified U-Net for automatic brain tumor regions segmentation. In: 27th European Signal Processing Conference, 2019-09-02 - 2019-09-06.

This list was generated on Tue Mar 28 09:51:22 2023 BST.