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      Predicting tensile strength of spliced and non-spliced steel bars using machine learning- and regression-based methods

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      Construction and Building Materials
      Elsevier BV

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            A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement

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              Machine learning study of the mechanical properties of concretes containing waste foundry sand

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                Author and article information

                Journal
                Construction and Building Materials
                Construction and Building Materials
                Elsevier BV
                09500618
                March 2022
                March 2022
                : 325
                : 126835
                Article
                10.1016/j.conbuildmat.2022.126835
                5faced42-69bf-4fa5-8d60-0a8cbe1b4fe9
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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