Sentence examples for detecting emergencies from inspiring English sources

Further than detecting emergencies, Lu et al. studied whether the mobility of populations after a disaster could be predicted, analyzing as case study the mobility of populations before and after the 2010 Haiti earthquake [128].

Experimental results demonstrate the effectiveness of our proposed model for monitoring patients and accurately detecting emergencies in imbalanced datasets through a case study on patients suffering from blood-pressure disorders.

The experimental results show that in most cases, our system immediately detects emergencies such as car accidents and natural disasters.

Altshuler et al. have recently also introduced another method they call the social amplifier to detect anomalous behavior and thus detect emergencies [127].

Using those particular nodes as social amplifiers, the authors show that only analyzing the local behavior of nodes that are close to the hubs of the network can be efficient to detect anomalies of the whole network, and thus detect emergencies.

To avoid further incidents, communication between the server and the vehicles must be very fast to detect emergency messages and deliver warning messages immediately.

Ambient Assisted Living (AAL) investigates the development of systems involving the use of different types of sensors, which monitor activities and vital signs of lonely elderly people in order to detect emergency situations or deviations from desirable medical patterns.

We assessed the effectiveness of mobile wireless monitoring technology and IT in detecting possible emergencies during a skyscraper race.

"The service measures trends over time, detects emergencies and alerts people of a problem even if you're unable to," he says.

These were identifying place of delivery, plan of skilled assistant during delivery, saving money for obstetric emergency, plan of mode of transport to place of delivery during emergency, plan of blood donor during obstetric emergency, detecting early signs of emergency and identifying institution with 24 hour emergency obstetric care services.

Andrade et al. [29, 30] combine Hidden Markov Models, spectral clustering, and principal component analysis of optical flow vectors for detecting crowd emergency scenarios.