An ontological approach for pathology assessment and diagnosis of tunnels

Dimitrova, V orcid.org/0000-0002-7001-0891, Mehmood, MO, Thakker, D et al. (3 more authors) (2020) An ontological approach for pathology assessment and diagnosis of tunnels. Engineering Applications of Artificial Intelligence, 90. 103450. ISSN 0952-1976

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019, Elsevier. This is an author produced version of an article published in Engineering Applications of Artificial Intelligence. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Tunnel diagnosis; Ontology; Intelligent decision support systems; Linear transport structures
Dates:
  • Published: April 2020
  • Accepted: 23 December 2019
  • Published (online): 18 February 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EU - European Union280712
Depositing User: Symplectic Publications
Date Deposited: 24 Mar 2020 10:09
Last Modified: 24 Mar 2020 10:09
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.engappai.2019.103450

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Filename: PADTUN-paper-2020.pdf

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