Kravić, N.;                     Savosina, J.;                     Agafonova-Moroz, M.;                     Babain, V.;                     Legin, A.;                     Kirsanov, D.    
        Nonlinear Multivariate Regression Algorithms for Improving Precision of Multisensor Potentiometry in Analysis of Spent Nuclear Fuel Reprocessing Solutions. Chemosensors 2022, 10, 90.
    https://doi.org/10.3390/chemosensors10030090
    AMA Style
    
                                Kravić N,                                 Savosina J,                                 Agafonova-Moroz M,                                 Babain V,                                 Legin A,                                 Kirsanov D.        
                Nonlinear Multivariate Regression Algorithms for Improving Precision of Multisensor Potentiometry in Analysis of Spent Nuclear Fuel Reprocessing Solutions. Chemosensors. 2022; 10(3):90.
        https://doi.org/10.3390/chemosensors10030090
    
    Chicago/Turabian Style
    
                                Kravić, Nadan,                                 Julia Savosina,                                 Marina Agafonova-Moroz,                                 Vasily Babain,                                 Andrey Legin,                                 and Dmitry Kirsanov.        
                2022. "Nonlinear Multivariate Regression Algorithms for Improving Precision of Multisensor Potentiometry in Analysis of Spent Nuclear Fuel Reprocessing Solutions" Chemosensors 10, no. 3: 90.
        https://doi.org/10.3390/chemosensors10030090
    
    APA Style
    
                                Kravić, N.,                                 Savosina, J.,                                 Agafonova-Moroz, M.,                                 Babain, V.,                                 Legin, A.,                                 & Kirsanov, D.        
        
        (2022). Nonlinear Multivariate Regression Algorithms for Improving Precision of Multisensor Potentiometry in Analysis of Spent Nuclear Fuel Reprocessing Solutions. Chemosensors, 10(3), 90.
        https://doi.org/10.3390/chemosensors10030090