Deep learning model for Demolition Waste Prediction in a circular economy

Lukman A. Akanbi*, Ahmed O. Oyedele, Lukumon O. Oyedele, Rafiu O. Salami

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    95 Citations (SciVal)
    Original languageEnglish
    Article number122843
    JournalJournal of Cleaner Production
    Volume274
    DOIs
    Publication statusPublished (VoR) - 20 Nov 2020

    Funding

    The authors would like to acknowledge and express their sincere gratitude to the UK’s Engineering and Physical Sciences Research Council (EPSRC) and Innovate UK (Grant Reference No. EP/N509012/1 ; Grant Application No. 54832–413479 /File No. 102473 ) for providing the financial support for this study.

    FundersFunder number
    Engineering and Physical Sciences Research Council
    Innovate UK102473, 54832–413479, EP/N509012/1

      Keywords

      • Building materials
      • Buildings’ end-of-life
      • Circular economy
      • Deep learning
      • Deep neural network

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