Tronci, S.;                     Van Neer, P.;                     Giling, E.;                     Stelwagen, U.;                     Piras, D.;                     Mei, R.;                     Corominas, F.;                     Grosso, M.    
        In-Line Monitoring and Control of Rheological Properties through Data-Driven Ultrasound Soft-Sensors. Sensors 2019, 19, 5009.
    https://doi.org/10.3390/s19225009
    AMA Style
    
                                Tronci S,                                 Van Neer P,                                 Giling E,                                 Stelwagen U,                                 Piras D,                                 Mei R,                                 Corominas F,                                 Grosso M.        
                In-Line Monitoring and Control of Rheological Properties through Data-Driven Ultrasound Soft-Sensors. Sensors. 2019; 19(22):5009.
        https://doi.org/10.3390/s19225009
    
    Chicago/Turabian Style
    
                                Tronci, Stefania,                                 Paul Van Neer,                                 Erwin Giling,                                 Uilke Stelwagen,                                 Daniele Piras,                                 Roberto Mei,                                 Francesc Corominas,                                 and Massimiliano Grosso.        
                2019. "In-Line Monitoring and Control of Rheological Properties through Data-Driven Ultrasound Soft-Sensors" Sensors 19, no. 22: 5009.
        https://doi.org/10.3390/s19225009
    
    APA Style
    
                                Tronci, S.,                                 Van Neer, P.,                                 Giling, E.,                                 Stelwagen, U.,                                 Piras, D.,                                 Mei, R.,                                 Corominas, F.,                                 & Grosso, M.        
        
        (2019). In-Line Monitoring and Control of Rheological Properties through Data-Driven Ultrasound Soft-Sensors. Sensors, 19(22), 5009.
        https://doi.org/10.3390/s19225009