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 Ullo2025-05-142025-05-142021jz000145-0034https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/19922550AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures Based on Artificial Intelligence Algorithms and Multi-Source Data ProcessingArticlehttps://doi.org/10.3390/ijgi10010034