New avenues for automated railway safety information processing in enterprise architecture: an NLP approach

Qurashi, A.W. orcid.org/0000-0002-0903-3883, Farhat, Z.A. orcid.org/0000-0002-0687-2817, Holmes, V. orcid.org/0000-0002-9786-4555 et al. (1 more author) (2023) New avenues for automated railway safety information processing in enterprise architecture: an NLP approach. IEEE Access, 11. pp. 44413-44424. ISSN 2169-3536

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Item Type: Article
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© 2023 The Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords: Data Management and Data Science; Information and Computing Sciences; Information Systems; Peace, Justice and Strong Institutions
Dates:
  • Published: 10 May 2023
  • Published (online): 2 May 2023
  • Accepted: 28 April 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > University of Sheffield Research Centres and Institutes > AMRC with Boeing (Sheffield)
The University of Sheffield > Advanced Manufacturing Institute (Sheffield) > AMRC with Boeing (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 10 Mar 2025 16:19
Last Modified: 10 Mar 2025 16:19
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/access.2023.3272610
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 16: Peace, Justice, and Strong Insitutions
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