de Paola, E.;                     Camussi, R.;                     Gasparetti, F.;                     Di Marco, A.;                     Stoica, L.G.;                     Capobianchi, G.;                     Paglia, F.    
        Predicting Wall Pressure Fluctuations on Aerospace Launchers Through Machine Learning Approaches. Aerospace 2024, 11, 972.
    https://doi.org/10.3390/aerospace11120972
    AMA Style
    
                                de Paola E,                                 Camussi R,                                 Gasparetti F,                                 Di Marco A,                                 Stoica LG,                                 Capobianchi G,                                 Paglia F.        
                Predicting Wall Pressure Fluctuations on Aerospace Launchers Through Machine Learning Approaches. Aerospace. 2024; 11(12):972.
        https://doi.org/10.3390/aerospace11120972
    
    Chicago/Turabian Style
    
                                de Paola, Elisa,                                 Roberto Camussi,                                 Fabio Gasparetti,                                 Alessandro Di Marco,                                 Luana G. Stoica,                                 Giorgia Capobianchi,                                 and Fabio Paglia.        
                2024. "Predicting Wall Pressure Fluctuations on Aerospace Launchers Through Machine Learning Approaches" Aerospace 11, no. 12: 972.
        https://doi.org/10.3390/aerospace11120972
    
    APA Style
    
                                de Paola, E.,                                 Camussi, R.,                                 Gasparetti, F.,                                 Di Marco, A.,                                 Stoica, L. G.,                                 Capobianchi, G.,                                 & Paglia, F.        
        
        (2024). Predicting Wall Pressure Fluctuations on Aerospace Launchers Through Machine Learning Approaches. Aerospace, 11(12), 972.
        https://doi.org/10.3390/aerospace11120972