Deep Learning Models for Health and Safety Risk Prediction in Power Infrastructure Projects

Anuoluwapo Ajayi, Lukumon Oyedele*, Hakeem Owolabi, Olugbenga Akinade, Muhammad Bilal, Juan Manuel Davila Delgado, Lukman Akanbi

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    47 Citations (SciVal)
    Original languageEnglish
    Pages (from-to)2019-2039
    Number of pages21
    JournalRisk Analysis
    Volume40
    Issue number10
    DOIs
    Publication statusPublished (VoR) - Oct 2020

    Funding

    The authors would like to express their sincere gratitude to Innovate UK and EPSRC (Grant Ref EP/S031480/1) for providing the financial support for the research. The authors would like to express their sincere gratitude to Innovate UK and EPSRC (Grant Ref EP/S031480/1) for providing the financial support for the research.

    FundersFunder number
    Engineering and Physical Sciences Research CouncilRef EP/S031480/1
    Innovate UK

      Keywords

      • Artificial intelligence
      • deep learning
      • health and safety risk

      Fingerprint

      Dive into the research topics of 'Deep Learning Models for Health and Safety Risk Prediction in Power Infrastructure Projects'. Together they form a unique fingerprint.

      Cite this