Guidelines for applied machine learning in construction industry—A case of profit margins estimation

Muhammad Bilal*, Lukumon O. Oyedele

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    48 Citations (SciVal)
    Original languageEnglish
    Article number101013
    JournalAdvanced Engineering Informatics
    Volume43
    DOIs
    Publication statusPublished (VoR) - Jan 2020

    Funding

    The authors would like to express their sincere gratitude to Innovate UK through grant application number 54832–413479 ; file number 102473 and Engineering and Physical Science Research Council (EPSRC) through grant reference number EP/S031480/1 for providing financial support to carryout this study.

    FundersFunder number
    Engineering and Physical Sciences Research CouncilEP/S031480/1
    Innovate UK102473, 54832–413479

      Keywords

      • Applied machine learning
      • Construction simulation tool
      • Interpretable machine learning
      • Predictive modelling
      • Profit margin forecasting

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