Self-filtering electrical area sensors emerging from deep learning

Smyl, D.J. orcid.org/0000-0002-6730-5277 and Liu, D. (2020) Self-filtering electrical area sensors emerging from deep learning. Measurement Science and Technology. ISSN 0957-0233

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 IOP Publishing Ltd. This Accepted Manuscript will be available for reuse under a CC BY-NC-ND 3.0 licence after a 12 month embargo period. (https://creativecommons.org/licenses/by-nc-nd/3.0/)
Keywords: Electrical Impedance Tomography; inverse problems; nondestructive evaluation; structural health monitoring; tomography
Dates:
  • Accepted: 5 February 2020
  • Published (online): 5 February 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 13 Feb 2020 16:44
Last Modified: 13 Feb 2020 16:44
Status: Published online
Publisher: IOP Publishing
Refereed: Yes
Identification Number: https://doi.org/10.1088/1361-6501/ab7314

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Embargoed until: 5 February 2021

Filename: Smyl+et+al_2020_Meas._Sci._Technol._10.1088_1361-6501_ab7314.pdf

Licence: CC-BY-NC-ND 3.0

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