[
    {
        "id": "doi:10.1007/s40964-025-01017-4 omid:br/0607175945",
        "title": "Machine Learning Approach To Predict The Early-Age Flexural Strength Of Sensor-Embedded 3D-printed Structures",
        "author": "Banijamali, Kasra [omid:ra/06019095736]; Dempsey, Mary [omid:ra/06019095737]; Chen, Jianhua [omid:ra/06019095738]; Kazemian, Ali [omid:ra/06019095739]",
        "pub_date": "2025-02-21",
        "issue": "",
        "volume": "",
        "venue": "Progress In Additive Manufacturing [issn:2363-9512 issn:2363-9520 omid:br/0607178574]",
        "type": "journal article",
        "page": "",
        "publisher": "Springer Science And Business Media Llc [crossref:297 omid:ra/0610116006]",
        "editor": ""
    }
]