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Managing and controlling COVID-19 in Lebanon using the Internet of Things and Artificial Intelligence

Wehbe, Arz and Azoury, Chadi and Baron, Claude and Vingerhoeds, Rob A. Managing and controlling COVID-19 in Lebanon using the Internet of Things and Artificial Intelligence. (2021) In: Fintech, Business Ecosystem & Economic Development, 25 June 2021 (Lebanon).

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Abstract

COVID-19 recently grew as a major problem worldwide and is considered the pandemic of the third century. Among the issues in dealing with this pandemic is the urgency, the bad communication, the decentralization of decision and the mismanagement of this crisis. In order to address these issues, the authors propose the use of Internet of Things and Artificial Intelligence. The Internet of Things proposes several solutions to the aforementioned problems, while using the Genetic Algorithm in AI to calibrate the proposed generalized SEIR mathematical model. This model, when calibrated to the existent recorded and confirmed data in Lebanon, will help predict the number of infected individuals. Thus, it will better prepare for the fight with the virus.

Item Type:Conference or Workshop Item (Paper)
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National des Sciences Appliquées de Toulouse - INSA (FRANCE)
Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > Lebanese University - LU (LEBANON)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Lebanese Canadian University - LCU (LEBANON)
Laboratory name:
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Deposited On:09 Sep 2021 12:29

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