[HTML][HTML] How to improve fault tolerance in disaster predictions: a case study about flash floods using IoT, ML and real data

G Furquim, GPR Filho, R Jalali, G Pessin, RW Pazzi… - Sensors, 2018 - mdpi.com
The rise in the number and intensity of natural disasters is a serious problem that affects the
whole world. The consequences of these disasters are significantly worse when they occur …

How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data

G Furquim, R Jalali, G Pessin, RW Pazzi, J Ueyama - SENSORS, 2018 - bv.fapesp.br
The rise in the number and intensity of natural disasters is a serious problem that affects the
whole world. The consequences of these disasters are significantly worse when they occur …

How to improve fault tolerance in disaster predictions: a case study about flash floods using IoT, ML and real data

G Furquim, R Jalali, G Pessin, RW Pazzi, J Ueyama - Sensors (Basel), 2018 - safetylit.org
The rise in the number and intensity of natural disasters is a serious problem that affects the
whole world. The consequences of these disasters are significantly worse when they occur …

[引用][C] How to improve fault tolerance in disaster predictions: a case study about flash floods using IoT, ML and real data

G Furquim, R Jalali, G Pessin, RW Pazzi, J Ueyama - Sensors, 2018 - repositorio.usp.br
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[HTML][HTML] How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data

G Furquim, PR Geraldo Filho, R Jalali… - Sensors (Basel …, 2018 - ncbi.nlm.nih.gov
The rise in the number and intensity of natural disasters is a serious problem that affects the
whole world. The consequences of these disasters are significantly worse when they occur …

How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data.

G Furquim, R Jalali, G Pessin, RW Pazzi… - Sensors …, 2018 - search.ebscohost.com
The rise in the number and intensity of natural disasters is a serious problem that affects the
whole world. The consequences of these disasters are significantly worse when they occur …

[PDF][PDF] How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data

G Furquim, PR Geraldo Filho, R Jalali, G Pessin… - …, 2018 - pdfs.semanticscholar.org
The rise in the number and intensity of natural disasters is a serious problem that affects the
whole world. The consequences of these disasters are significantly worse when they occur …

How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data.

G Furquim, R Jalali, G Pessin, RW Pazzi… - Sensors (Basel …, 2018 - europepmc.org
The rise in the number and intensity of natural disasters is a serious problem that affects the
whole world. The consequences of these disasters are significantly worse when they occur …

[引用][C] How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data

G Furquim, R Jalali, G Pessin, R Pazzi, J Ueyama - Sensors, 2018 - ui.adsabs.harvard.edu
How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods
Using IoT, ML and Real Data - NASA/ADS Now on home page ads icon ads Enable full ADS …

[PDF][PDF] How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data

G Furquim, PR Geraldo Filho, R Jalali, G Pessin… - Sensors, 2018 - elk.adalidda.com
The rise in the number and intensity of natural disasters is a serious problem that affects the
whole world. The consequences of these disasters are significantly worse when they occur …