State Estimation of the Spread of COVID-19 in Saudi Arabia using Extended Kalman Filter
Author:
Affiliation:
1. University of Exeter,College of Engineering, Mathematics and Physical Sciences,Department of Mathematics,Penryn Campus TR10 9FE,United Kingdom
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9896165/9896177/09896194.pdf?arnumber=9896194
Reference20 articles.
1. Optimal State Estimation
2. Using the Kalman filter and dynamic models to assess the changing HIV/AIDS epidemic
3. Analysis of bias in an Ebola epidemic model by extended Kalman filter approach
4. Maximum likelihood-based extended Kalman filter for COVID-19 prediction
5. Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling
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1. Bayesian model selection for COVID-19 pandemic state estimation using extended Kalman filters: Case study for Saudi Arabia;PLOS Global Public Health;2024-07-25
2. Temperature control system of hot and cold alternating treatment system based on Kalman filter combined with fuzzy logic;Applied Mathematics and Nonlinear Sciences;2024-01-01
3. Bayesian Noise Modelling for State Estimation of the Spread of COVID-19 in Saudi Arabia with Extended Kalman Filters;Sensors;2023-05-13
4. Properties and Future of the Skew Kalman Filters;2023 Sixth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU);2023-03
5. Extended Skew Kalman Filters for COVID-19 Pandemic State Estimation;2023 Sixth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU);2023-03
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