Geospatial and temporal data mining to combine railway low adhesion and rail defect data

Arnall, A., Fletcher, D. orcid.org/0000-0002-1562-4655 and Lewis, R. (2018) Geospatial and temporal data mining to combine railway low adhesion and rail defect data. Proceedings of the Institution of Civil Engineers: Transport. ISSN 0965-092X

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 ICE Publishings. This is an author produced version of a paper subsequently published in Proceedings of the Institution of Civil Engineers - Transport. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Published (online): 22 June 2018
  • Accepted: 8 June 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
NETWORK RAIL LIMITED737364
Depositing User: Symplectic Sheffield
Date Deposited: 25 Jun 2018 15:05
Last Modified: 25 Jun 2018 15:05
Published Version: https://doi.org/10.1680/jtran.17.00120
Status: Published online
Publisher: Thomas Telford
Refereed: Yes
Identification Number: https://doi.org/10.1680/jtran.17.00120

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