Banasiewicz, A.;                     Moosavi, F.;                     Kotyla, M.;                     Śliwiński, P.;                     Krot, P.;                     Wodecki, J.;                     Zimroz, R.    
        Forecasting of NOx Emissions of Diesel LHD Vehicles in Underground Mines—An ANN-Based Regression Approach. Appl. Sci. 2023, 13, 9965.
    https://doi.org/10.3390/app13179965
    AMA Style
    
                                Banasiewicz A,                                 Moosavi F,                                 Kotyla M,                                 Śliwiński P,                                 Krot P,                                 Wodecki J,                                 Zimroz R.        
                Forecasting of NOx Emissions of Diesel LHD Vehicles in Underground Mines—An ANN-Based Regression Approach. Applied Sciences. 2023; 13(17):9965.
        https://doi.org/10.3390/app13179965
    
    Chicago/Turabian Style
    
                                Banasiewicz, Aleksandra,                                 Forougholsadat Moosavi,                                 Michalina Kotyla,                                 Paweł Śliwiński,                                 Pavlo Krot,                                 Jacek Wodecki,                                 and Radosław Zimroz.        
                2023. "Forecasting of NOx Emissions of Diesel LHD Vehicles in Underground Mines—An ANN-Based Regression Approach" Applied Sciences 13, no. 17: 9965.
        https://doi.org/10.3390/app13179965
    
    APA Style
    
                                Banasiewicz, A.,                                 Moosavi, F.,                                 Kotyla, M.,                                 Śliwiński, P.,                                 Krot, P.,                                 Wodecki, J.,                                 & Zimroz, R.        
        
        (2023). Forecasting of NOx Emissions of Diesel LHD Vehicles in Underground Mines—An ANN-Based Regression Approach. Applied Sciences, 13(17), 9965.
        https://doi.org/10.3390/app13179965