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

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AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures Based on Artificial Intelligence Algorithms and Multi-Source Data Processing
(MDPI AG, 2021) Alessandro Sebastianelli; Francesco Mauro; Gianluca Di Cosmo; Fabrizio Passarini; Marco Carminati; Silvia Liberata Ullo

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https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/19924

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