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