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Nonpharmaceutical stochastic optimal control strategies to mitigate the COVID-19 spread
This article proposes a stochastic nonlinear model predictive controller to support
policymakers in determining robust optimal nonpharmaceutical strategies to tackle the …
policymakers in determining robust optimal nonpharmaceutical strategies to tackle the …
Modeling, estimation, and optimal control of anti-covid-19 multi-dose vaccine administration
The recent trends of the COVID-19 research are being devoted to disease transmission
modeling in presence of vaccinated individuals, while the emerging needs are being …
modeling in presence of vaccinated individuals, while the emerging needs are being …
[PDF][PDF] Forecasting the Risk Factors of COVID-19 through AI Feature Fitting Learning Process (FfitL-CoV19)
V Kakulapati, A Jayanthiladevi - Asian J. Adv. Res. Rep, 2023 - researchgate.net
In the present day situation, decreasing COVID-19 risk elements also can moreover need to
probably check the abilities to provide and test AI-primarily based total models for COVID-19 …
probably check the abilities to provide and test AI-primarily based total models for COVID-19 …
A simple synthetic human mobility model during COVID-19 lockdown
V Ayu, C Rumondang - AIP Conference Proceedings, 2022 - pubs.aip.org
Coronavirus-19 (COVID-19) widespread to all corners of the world is strongly correlated to
humans as the primary host. This contagious virus is transferred from humans' close contact …
humans as the primary host. This contagious virus is transferred from humans' close contact …