Bayesian noise modelling for state estimation of the spread of covid-19 in saudi arabia with extended kalman filters
The epistemic uncertainty in coronavirus disease (COVID-19) model-based predictions
using complex noisy data greatly affects the accuracy of pandemic trend and state …
using complex noisy data greatly affects the accuracy of pandemic trend and state …
Dynamical analysis of a novel fractional order SIDARTHE epidemic model of COVID-19 with the Caputo–Fabrizio (CF) derivative
Y Zhao, T Li, R Kang, X He - Advances in Continuous and Discrete Models, 2024 - Springer
Fabrizio and Caputo suggested an extraordinary definition of fractional derivative, which has
been used in many fields. The SIDARTHE infectious disease model with regard to COVID …
been used in many fields. The SIDARTHE infectious disease model with regard to COVID …
Nonlinear Filtering With Sporadically Missing Sensor Data
The traditional Gaussian filtering adjustment is restricted with the assumption that the sensor
data are received at every sampling instant. In practice, however, the observed data are …
data are received at every sampling instant. In practice, however, the observed data are …
Modeling COVID-19 Prevention from Influenza Symptoms Using Kalman Filter Approach
Several countries have stopped community restriction program activities in dealing with
COVID-19, including in Indonesia which has stopped a similar program at the end of 2022 …
COVID-19, including in Indonesia which has stopped a similar program at the end of 2022 …
[PDF][PDF] On uncertainty estimation in machine learning
J Lindqvist - 2024 - research.chalmers.se
This thesis explores the representation of probabilistic machine learning models, focusing
on representing and quantifying uncertainty. The included publications consider a range of …
on representing and quantifying uncertainty. The included publications consider a range of …
A Study on Mathematical Modeling of HIV/AIDS, Malaria, and Dengue Fever
This book chapter delves into the realm of mathematical modeling concerning the spread
and dynamics of HIV/AIDS, malaria, and dengue fever. It comprehensively examines …
and dynamics of HIV/AIDS, malaria, and dengue fever. It comprehensively examines …
A Comprehensive Exploration of Mathematical Models and Machine Learning Techniques for COVID-19
G Arora, T Lhamo, S Singh - Exploring Medical Statistics: Biostatistics …, 2024 - igi-global.com
Mathematical modeling has proved to be useful in predicting the spread of infectious
diseases and assessing the dynamical behavior of contagious diseases, including COVID …
diseases and assessing the dynamical behavior of contagious diseases, including COVID …