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0579554 - ÚTIA 2024 RIV NL eng J - Journal Article
Žid, Pavel - Haindl, Michal - Havlíček, Vojtěch
Governmental Anti-Covid Measures Effectiveness Detection.
Procedia Computer Science. Roč. 225, č. 1 (2023), s. 2922-2931. ISSN 1877-0509.
[International Conference on Knowledge-Based and Intelligent Information & Engineering Systems 2023 (KES 2023) /27./. Athens, 06.09.2023-08.09.2023]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : COVID-19 * Recursive forecasting model * Machine learning method * Prediction * Anti-pandemic measures
OECD category: Automation and control systems
Method of publishing: Open access
http://library.utia.cas.cz/separaty/2023/RO/zid-0579554.pdf https://www.sciencedirect.com/science/article/pii/S1877050923014436?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0348913