AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures Based on Artificial Intelligence Algorithms and Multi-Source Data Processing

AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures Based on Artificial Intelligence Algorithms and Multi-Source Data Processing

The aim of this concept paper is the description of a new tool to support institutions in the implementation of targeted countermeasures, based on quantitative and multi-scale elements, for the fight and prevention of emergencies, such as the current COVID-19 pandemic. The tool is a cloud-based cent...

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Bibliographic Details
Main Authors: Alessandro Sebastianelli, Francesco Mauro, Gianluca Di Cosmo, Fabrizio Passarini, Marco Carminati, Silvia Liberata Ullo
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
COVID-19 counteractions
risk levels
artificial intelligence
long short term memory neural network
satellite remote sensing
sensor networks
Online Access:https://www.mdpi.com/2220-9964/10/1/34

Internet

https://www.mdpi.com/2220-9964/10/1/34

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