Attention U-Net as a surrogate model for groundwater prediction

Taccari, ML, Nuttall, J, Chen, X orcid.org/0000-0002-2053-2448 et al. (3 more authors) (2022) Attention U-Net as a surrogate model for groundwater prediction. Advances in Water Resources, 163. 104169. ISSN 0309-1708

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Copyright, Publisher and Additional Information: © 2022 Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Advances in Water Resources. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Attention U-Net; groundwater flow; image-to-image regression; Surrogate modelling
Dates:
  • Accepted: 18 March 2022
  • Published (online): 19 March 2022
  • Published: May 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds)
The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 04 Apr 2022 11:33
Last Modified: 29 Jul 2022 09:28
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.advwatres.2022.104169

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