Furquim, G.;                     Filho, G.P.R.;                     Jalali, R.;                     Pessin, G.;                     Pazzi, R.W.;                     Ueyama, J.    
        How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data. Sensors 2018, 18, 907.
    https://doi.org/10.3390/s18030907
    AMA Style
    
                                Furquim G,                                 Filho GPR,                                 Jalali R,                                 Pessin G,                                 Pazzi RW,                                 Ueyama J.        
                How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data. Sensors. 2018; 18(3):907.
        https://doi.org/10.3390/s18030907
    
    Chicago/Turabian Style
    
                                Furquim, Gustavo,                                 Geraldo P. R. Filho,                                 Roozbeh Jalali,                                 Gustavo Pessin,                                 Richard W. Pazzi,                                 and Jó Ueyama.        
                2018. "How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data" Sensors 18, no. 3: 907.
        https://doi.org/10.3390/s18030907
    
    APA Style
    
                                Furquim, G.,                                 Filho, G. P. R.,                                 Jalali, R.,                                 Pessin, G.,                                 Pazzi, R. W.,                                 & Ueyama, J.        
        
        (2018). How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data. Sensors, 18(3), 907.
        https://doi.org/10.3390/s18030907