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

Alessandro SebastianelliFrancesco MauroGianluca Di CosmoFabrizio PassariniMarco CarminatiSilvia Liberata Ullo2025-05-142025-05-14https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/19924550AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures Based on Artificial Intelligence Algorithms and Multi-Source Data Processingsupplierxml