Haghbin, M.;                     ChiachÃo, J.;                     Muñoz, S.;                     Escalona Franco, J.L.;                     Guillén, A.J.;                     Crespo Marquez, A.;                     Cantero-Chinchilla, S.    
        Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle’s Acceleration Measurements. Sensors 2024, 24, 4627.
    https://doi.org/10.3390/s24144627
    AMA Style
    
                                Haghbin M,                                 ChiachÃo J,                                 Muñoz S,                                 Escalona Franco JL,                                 Guillén AJ,                                 Crespo Marquez A,                                 Cantero-Chinchilla S.        
                Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle’s Acceleration Measurements. Sensors. 2024; 24(14):4627.
        https://doi.org/10.3390/s24144627
    
    Chicago/Turabian Style
    
                                Haghbin, Masoud,                                 Juan ChiachÃo,                                 Sergio Muñoz,                                 Jose Luis Escalona Franco,                                 Antonio J. Guillén,                                 Adolfo Crespo Marquez,                                 and Sergio Cantero-Chinchilla.        
                2024. "Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle’s Acceleration Measurements" Sensors 24, no. 14: 4627.
        https://doi.org/10.3390/s24144627
    
    APA Style
    
                                Haghbin, M.,                                 ChiachÃo, J.,                                 Muñoz, S.,                                 Escalona Franco, J. L.,                                 Guillén, A. J.,                                 Crespo Marquez, A.,                                 & Cantero-Chinchilla, S.        
        
        (2024). Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle’s Acceleration Measurements. Sensors, 24(14), 4627.
        https://doi.org/10.3390/s24144627