A deep learning approach to concrete water-cement ratio prediction

Sururah Apinke Bello*, Lukumon Oyedele, Olakunle Kazeem Olaitan, Kolawole Adisa Olonade, Akinropo Musiliu Olajumoke, Anuoluwapo Ajayi, Lukman Akanbi, Olugbenga Akinade, Mistura Laide Sanni, Abdul Lateef Bello

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    6 Citations (SciVal)
    Original languageEnglish
    Article number100300
    JournalResults in Materials
    Publication statusPublished (VoR) - Sept 2022


    The authors would like to express their appreciation to the Engineering and Physical Science Research Council (EPSRC) United Kingdom (Grant Ref: EP/S031480/1 ) for providing the financial support for this study.

    FundersFunder number
    Engineering and Physical Sciences Research CouncilEP/S031480/1


      Dive into the research topics of 'A deep learning approach to concrete water-cement ratio prediction'. Together they form a unique fingerprint.

      Cite this