Experimental and machine learning approaches to investigate the effect of waste glass powder on the flexural strength of cement mortar

HIGHLIGHTS

• who: Muhammad Nasir Amin et al. from the Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, AlAhsa, Saudi Arabia, Department of Civil Engineering, COMSATS University Islamabad, Abbottabad have published the research: Experimental and machine learning approaches to investigate the effect of waste glass powder on the flexural strength of cement mortar, in the Journal: PLOS ONE of November/22,/2022
• what: Following the completion of the experiments, the obtained data were utilized to develop ML prediction models. As matched to the SVM technique utilized in the present study, the BR method . . .
  

   

  

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