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An investigation of safe and near-optimal strategies for prevention of Covid-19 exposure using stochastic hybrid models and machine learning()
In this work investigate the use of stochastic hybrid models, statistical model checking and machine learning to analyze, predict and control the rapid spreading of Covid-19. During the pandemic numerous studies using stochastic models have been produced. Most of these studies are used to predict th...
Autores principales: | Bilgram, Alexander, Jensen, Peter G., Jørgensen, Kenneth Y., Larsen, Kim G., Mikučionis, Marius, Muñiz, Marco, Poulsen, Danny B., Taankvist, Peter |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671620/ http://dx.doi.org/10.1016/j.dajour.2022.100141 |
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