Hossain, M.S.;                     Mahmud, S.;                     Khandakar, A.;                     Al-Emadi, N.;                     Chowdhury, F.A.;                     Mahbub, Z.B.;                     Reaz, M.B.I.;                     Chowdhury, M.E.H.    
        MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals. Bioengineering 2023, 10, 579.
    https://doi.org/10.3390/bioengineering10050579
    AMA Style
    
                                Hossain MS,                                 Mahmud S,                                 Khandakar A,                                 Al-Emadi N,                                 Chowdhury FA,                                 Mahbub ZB,                                 Reaz MBI,                                 Chowdhury MEH.        
                MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals. Bioengineering. 2023; 10(5):579.
        https://doi.org/10.3390/bioengineering10050579
    
    Chicago/Turabian Style
    
                                Hossain, Md Shafayet,                                 Sakib Mahmud,                                 Amith Khandakar,                                 Nasser Al-Emadi,                                 Farhana Ahmed Chowdhury,                                 Zaid Bin Mahbub,                                 Mamun Bin Ibne Reaz,                                 and Muhammad E. H. Chowdhury.        
                2023. "MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals" Bioengineering 10, no. 5: 579.
        https://doi.org/10.3390/bioengineering10050579
    
    APA Style
    
                                Hossain, M. S.,                                 Mahmud, S.,                                 Khandakar, A.,                                 Al-Emadi, N.,                                 Chowdhury, F. A.,                                 Mahbub, Z. B.,                                 Reaz, M. B. I.,                                 & Chowdhury, M. E. H.        
        
        (2023). MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals. Bioengineering, 10(5), 579.
        https://doi.org/10.3390/bioengineering10050579