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Bridging the gap : Embedding 3D details into fast deep-learning model for pedestrian-level wind prediction

Bridging the gap : Embedding 3D details into fast deep-learning model for pedestrian-level wind prediction
Bridging the gap : Embedding 3D details into fast deep-learning model for pedestrian-level wind prediction
Clarke, Adam
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Erik, Knut
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Giljarhus, Teigen
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Oggiano, Luca
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Saddington, Alistair
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Depuru-Mohan, Karthik
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Vanderwel, Christina
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Xie, Zheng-Tong
98ced75d-5617-4c2d-b20f-7038c54f4ff0
Clarke, Adam
bc13e41c-1fb3-4e08-bc13-c164e1e01152
Erik, Knut
d66d8933-baeb-4399-8cc7-995ccbfe1f13
Giljarhus, Teigen
426c51a3-6e1e-4d12-97b9-66768e7ce09c
Oggiano, Luca
7fa4dde2-dc4d-4a08-bc10-45fa7abaf4ab
Saddington, Alistair
863f4e8b-48b3-469b-a224-9c6ce02a4d6a
Depuru-Mohan, Karthik
16e41459-ebd5-4c60-87a9-7f72192968bf
Vanderwel, Christina
fbc030f0-1822-4c3f-8e90-87f3cd8372bb
Xie, Zheng-Tong
98ced75d-5617-4c2d-b20f-7038c54f4ff0

Clarke, Adam, Erik, Knut, Giljarhus, Teigen, Oggiano, Luca, Saddington, Alistair and Depuru-Mohan, Karthik (2024) Bridging the gap : Embedding 3D details into fast deep-learning model for pedestrian-level wind prediction. Vanderwel, Christina and Xie, Zheng-Tong (eds.) 14th UK Conference on Wind Engineering, University of Southampton, Southampton, United Kingdom. 04 - 06 Sep 2024. 4 pp . (doi:10.5258/WES/P0017).

Record type: Conference or Workshop Item (Paper)
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Published date: 2024
Venue - Dates: 14th UK Conference on Wind Engineering, University of Southampton, Southampton, United Kingdom, 2024-09-04 - 2024-09-06

Identifiers

Local EPrints ID: 493307
URI: http://eprints.soton.ac.uk/id/eprint/493307
PURE UUID: 2c10e74c-6a2d-45f0-ab61-e02093e3915e
ORCID for Christina Vanderwel: ORCID iD orcid.org/0000-0002-5114-8377
ORCID for Zheng-Tong Xie: ORCID iD orcid.org/0000-0002-8119-7532

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Date deposited: 29 Aug 2024 16:43
Last modified: 30 Aug 2024 01:47

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Contributors

Author: Adam Clarke
Author: Knut Erik
Author: Teigen Giljarhus
Author: Luca Oggiano
Author: Alistair Saddington
Author: Karthik Depuru-Mohan
Editor: Zheng-Tong Xie ORCID iD

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