[
    {
        "id": "doi:10.3390/ma16114149 openalex:W4379142103 omid:br/062503994548",
        "title": "Machine Learning-Based Predictive Model For Tensile And Flexural Strength Of 3D-Printed Concrete",
        "author": "Abbas, Syed Baqar [orcid:0009-0006-5670-2345 omid:ra/0625011305599]; Ali, Ammar [omid:ra/0625011305600]; Faizan, Muhammad [omid:ra/0625011305601]; Hanif, Asad [orcid:0000-0002-4318-7712 omid:ra/0625011305602]; Kim, In-Ho [orcid:0000-0001-5665-9902 omid:ra/0625011305603]; Malik, Umair Jalil [orcid:0009-0009-8447-1072 omid:ra/0625011305604]; Riaz, Raja Dilawar [omid:ra/0625011305605]; Shah, Mati Ullah [orcid:0000-0002-7863-5781 omid:ra/06290533509]; Usman, Muhammad [orcid:0000-0003-2262-6429 omid:ra/066012654131]",
        "pub_date": "2023-06-02",
        "issue": "11",
        "volume": "16",
        "venue": "Materials [issn:1996-1944 openalex:S18714766 omid:br/0613050242]",
        "type": "journal article",
        "page": "4149",
        "publisher": "Mdpi Ag [crossref:1968 omid:ra/0610116165]",
        "editor": ""
    }
]