Al-Sarem, M.;                     Alsaeedi, A.;                     Saeed, F.;                     Boulila, W.;                     AmeerBakhsh, O.    
        A Novel Hybrid Deep Learning Model for Detecting COVID-19-Related Rumors on Social Media Based on LSTM and Concatenated Parallel CNNs. Appl. Sci. 2021, 11, 7940.
    https://doi.org/10.3390/app11177940
    AMA Style
    
                                Al-Sarem M,                                 Alsaeedi A,                                 Saeed F,                                 Boulila W,                                 AmeerBakhsh O.        
                A Novel Hybrid Deep Learning Model for Detecting COVID-19-Related Rumors on Social Media Based on LSTM and Concatenated Parallel CNNs. Applied Sciences. 2021; 11(17):7940.
        https://doi.org/10.3390/app11177940
    
    Chicago/Turabian Style
    
                                Al-Sarem, Mohammed,                                 Abdullah Alsaeedi,                                 Faisal Saeed,                                 Wadii Boulila,                                 and Omair AmeerBakhsh.        
                2021. "A Novel Hybrid Deep Learning Model for Detecting COVID-19-Related Rumors on Social Media Based on LSTM and Concatenated Parallel CNNs" Applied Sciences 11, no. 17: 7940.
        https://doi.org/10.3390/app11177940
    
    APA Style
    
                                Al-Sarem, M.,                                 Alsaeedi, A.,                                 Saeed, F.,                                 Boulila, W.,                                 & AmeerBakhsh, O.        
        
        (2021). A Novel Hybrid Deep Learning Model for Detecting COVID-19-Related Rumors on Social Media Based on LSTM and Concatenated Parallel CNNs. Applied Sciences, 11(17), 7940.
        https://doi.org/10.3390/app11177940