Interval type-2 Fuzzy control and stochastic modeling of COVID-19 spread based on vaccination and social distancing rates
Background and objective Besides efforts on vaccine discovery, robust and intuitive
government policies could also significantly influence the pandemic state. However, such …
government policies could also significantly influence the pandemic state. However, such …
STROVE: Spatial data infrastructure enabled cloud–fog–edge computing framework for combating COVID-19 pandemic
The outbreak of 2019 novel coronavirus (COVID-19) has triggered unprecedented
challenges and put the whole world in a parlous condition. The impacts of COVID-19 is a …
challenges and put the whole world in a parlous condition. The impacts of COVID-19 is a …
Optimal intervention strategies to mitigate the COVID-19 pandemic effects
Governments across the world are currently facing the task of selecting suitable intervention
strategies to cope with the effects of the COVID-19 pandemic. This is a highly challenging …
strategies to cope with the effects of the COVID-19 pandemic. This is a highly challenging …
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 …
Detection of dementia through 3D convolutional neural networks based on amyloid PET
Dementia is one of the most common diseases in the elderly and a leading cause of
mortality and disability. In recent years, a research effort has been made to develop …
mortality and disability. In recent years, a research effort has been made to develop …
Asynchronous state estimation for switched nonlinear reaction–diffusion SIR epidemic models with impulsive effects
X Song, Z Peng, S Song, V Stojanovic - Biomedical Signal Processing and …, 2025 - Elsevier
This paper focuses on the asynchronous interval type-2 fuzzy state estimation for switched
nonlinear reaction–diffusion susceptible–infected–recovered (SIR) epidemic models with …
nonlinear reaction–diffusion susceptible–infected–recovered (SIR) epidemic models with …
[HTML][HTML] Chance-constrained stochastic optimal control of epidemic models: A fourth moment method-based reformulation
This work proposes a methodology for the reformulation of chance-constrained stochastic
optimal control problems that ensures reliable uncertainty management of epidemic …
optimal control problems that ensures reliable uncertainty management of epidemic …
Predictability of COVID-19 Infections Based on Deep Learning and Historical Data
The COVID-19 disease has spread worldwide since 2020, causing a high number of deaths
as well as infections, and impacting economic, social and health systems. Understanding its …
as well as infections, and impacting economic, social and health systems. Understanding its …
Fractional-Order Optimal Control and FIOV-MASAC Reinforcement Learning for Combating Malware Spread in Internet of Vehicles
G Liu, H Li, L **ong, Z Tan, Z Liang… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Internet of Vehicles (IoV) is gradually becoming popular, but it also brings more
opportunities for malware intrusion. The intrusion of malware into IoV will cause a series of …
opportunities for malware intrusion. The intrusion of malware into IoV will cause a series of …
Attention based parameter estimation and states forecasting of COVID-19 pandemic using modified SIQRD Model
In this work, we propose a new mathematical modeling of the spread of COVID-19 infection
in an arbitrary population, by modifying the SIQRD model as m-SIQRD model, while taking …
in an arbitrary population, by modifying the SIQRD model as m-SIQRD model, while taking …