[
    {
        "id": "doi:10.1109/eebda60612.2024.10485827 omid:br/06904420118",
        "title": "Deep Learning For Predicting The Strength Of 3D-Printable Engineered Cementitious Composites",
        "author": "Lai, Xin [omid:ra/069012244778]; Gong, Chen [omid:ra/069012244779]; He, Enpei [omid:ra/069012244780]; Li, Yinmian [omid:ra/069012244781]; Zhou, Yixin [omid:ra/069012244782]; Zhang, Fang [omid:ra/069012244783]",
        "pub_date": "2024-02-27",
        "issue": "",
        "volume": "",
        "venue": "2024 IEEE 3Rd International Conference On Electrical Engineering, Big Data And Algorithms (EEBDA) [omid:br/06904421044]",
        "type": "proceedings article",
        "page": "52-56",
        "publisher": "Institute Of Electrical And Electronics Engineers (Ieee) [crossref:263 omid:ra/0610116052]",
        "editor": ""
    }
]