The application of artificial intelligence techniques to better manage iron in drinking water distribution systems

Boxall, J. orcid.org/0000-0002-4681-6895, Speight, V., Kyritsakas, G. et al. (6 more authors) (2022) The application of artificial intelligence techniques to better manage iron in drinking water distribution systems. Institute of Water Journal (7). pp. 28-34.

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2022 The Authors. This is an author-produced version of a paper subsequently published in the Institute of Water Journal. This version is available under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Dates:
  • Published: 6 June 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield)
Funding Information:
Funder
Grant number
Engineering and Physical Sciences Research Council
EP/I029346/1; EP/N010124/1
Yorkshire Water Services Ltd
YW.200035
Depositing User: Symplectic Sheffield
Date Deposited: 08 Jun 2022 07:36
Last Modified: 08 Jun 2022 08:18
Published Version: https://library.myebook.com/InstituteofWaterMagazi...
Status: Published
Publisher: JimJam Media (on behalf of the Institute of Water)
Refereed: Yes
Open Archives Initiative ID (OAI ID):

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