Edge Computing and Artificial Intelligence for Landslides Monitoring

[en] Landslides are phenomena widely present around the world responsible each year of responsible for numerous loss of life and extensive property damage. Researchers have developed various methodologies to identify area of high susceptibility of landslide. However, these methodology can not can't predict when landslides are going to take place. Wireless Sensors Network, Internet of Thins and Artificial Intelligence offer the possibility to monitor in real-time parameters causing the triggering of rapid landslides. In this paper, we pave the way to a real-time monitoring of landslides in order to precociously alert in danger population by means of a warning system.

Disciplines :

Computer science

Author, co-author :

El Moulat, Meryem ^✱

Debauche, Olivier ^✱; Université de Liège - ULiège > TERRA Research Centre

Mahmoudi, Saïd

Mahmoudi, Sidi Ahmed

Manneback, Pierre

Lebeau, Frédéric ; Université de Liège - ULiège > Département GxABT > Biosystems Dynamics and Exchanges

^✱ These authors have contributed equally to this work.

Language :

English

Title :

Edge Computing and Artificial Intelligence for Landslides Monitoring

Publication date :

11 November 2020

Journal title :

Procedia Computer Science

eISSN :

1877-0509

Publisher :

Elsevier, Amsterdam, Netherlands

Volume :

177

Pages :

480-487

Peer reviewed :

Peer reviewed

Available on ORBi :

since 20 July 2020

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237 (8 by ULiège)

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Bibliography

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