Mohtasham Moein, M.;                     Rahmati, K.;                     Mohtasham Moein, A.;                     Saradar, A.;                     Rigby, S.E.;                     Akhavan Tabassi, A.    
        Employing Neural Networks, Fuzzy Logic, and Weibull Analysis for the Evaluation of Recycled Brick Powder in Concrete Compositions. Buildings 2024, 14, 4062.
    https://doi.org/10.3390/buildings14124062
    AMA Style
    
                                Mohtasham Moein M,                                 Rahmati K,                                 Mohtasham Moein A,                                 Saradar A,                                 Rigby SE,                                 Akhavan Tabassi A.        
                Employing Neural Networks, Fuzzy Logic, and Weibull Analysis for the Evaluation of Recycled Brick Powder in Concrete Compositions. Buildings. 2024; 14(12):4062.
        https://doi.org/10.3390/buildings14124062
    
    Chicago/Turabian Style
    
                                Mohtasham Moein, Mohammad,                                 Komeil Rahmati,                                 Ali Mohtasham Moein,                                 Ashkan Saradar,                                 Sam E. Rigby,                                 and Amin Akhavan Tabassi.        
                2024. "Employing Neural Networks, Fuzzy Logic, and Weibull Analysis for the Evaluation of Recycled Brick Powder in Concrete Compositions" Buildings 14, no. 12: 4062.
        https://doi.org/10.3390/buildings14124062
    
    APA Style
    
                                Mohtasham Moein, M.,                                 Rahmati, K.,                                 Mohtasham Moein, A.,                                 Saradar, A.,                                 Rigby, S. E.,                                 & Akhavan Tabassi, A.        
        
        (2024). Employing Neural Networks, Fuzzy Logic, and Weibull Analysis for the Evaluation of Recycled Brick Powder in Concrete Compositions. Buildings, 14(12), 4062.
        https://doi.org/10.3390/buildings14124062