Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review
P Wang, X Zheng, H Liu - Frontiers in public health, 2022 - frontiersin.org
The COVID-19 epidemic has caused more than 6.4 million deaths to date and has become a
hot topic of interest in different disciplines. According to bibliometric analysis, more than …
hot topic of interest in different disciplines. According to bibliometric analysis, more than …
[HTML][HTML] Review of atomic layer deposition process, application and modeling tools
Atomic layer deposition is a highly sought-after technique with high conformal and quality
film deposition. This study reviewed thin-film technology comprehensively and narrowed it to …
film deposition. This study reviewed thin-film technology comprehensively and narrowed it to …
Infectious Disease Modeling: From Traditional to Evolutionary Algorithms
I Malhotra, N Goel - Archives of Computational Methods in Engineering, 2024 - Springer
The recent worldwide catastrophe named COVID-19 has motivated experts from various
fields to contribute to tackling the situation, such as by forecasting the spread of infectious …
fields to contribute to tackling the situation, such as by forecasting the spread of infectious …
[HTML][HTML] An ecommerce recommendation algorithm based on link prediction
G Liu - Alexandria Engineering Journal, 2022 - Elsevier
In the field of ecommerce, most recommendation algorithms are based on user-item bipartite
graph network (BGN). But this kind of recommendation algorithm is severely lacking in …
graph network (BGN). But this kind of recommendation algorithm is severely lacking in …
[HTML][HTML] Early stage machine learning–based prediction of US county vulnerability to the COVID-19 pandemic: machine learning approach
Background: The rapid spread of COVID-19 means that government and health services
providers have little time to plan and design effective response policies. It is therefore …
providers have little time to plan and design effective response policies. It is therefore …
Effect of two vaccine doses in the SEIR epidemic model using a stochastic cellular automaton
In this work, to support decision making of immunisation strategies, we propose the inclusion
of two vaccination doses in the SEIR model considering a stochastic cellular automaton. We …
of two vaccination doses in the SEIR model considering a stochastic cellular automaton. We …
Modeling the spread of epidemics based on cellular automata
Mathematical modeling is a powerful tool to study the process of the spread of infectious
diseases. Among various mathematical methods for describing the spread of infectious …
diseases. Among various mathematical methods for describing the spread of infectious …
Modeling COVID-19 spread using multi-agent simulation with small-world network approach
Q Fan, Q Li, Y Chen, J Tang - BMC Public Health, 2024 - Springer
Background The rapid global spread of COVID-19 has seriously impacted people's daily
lives and the social economy while also posing a threat to their lives. The analysis of …
lives and the social economy while also posing a threat to their lives. The analysis of …
SQEIR: An epidemic virus spread analysis and prediction model
Y Wu, Y Sun, M Lin - Computers and Electrical Engineering, 2022 - Elsevier
In 2019, a new strain of coronavirus pneumonia spread quickly worldwide. Viral propagation
may be simulated using the Susceptible Infectious Removed (SIR) model. However, the SIR …
may be simulated using the Susceptible Infectious Removed (SIR) model. However, the SIR …
[HTML][HTML] Robustness evaluation for multi-subnet composited complex network of urban public transport
H Yang, S An - Alexandria Engineering Journal, 2021 - Elsevier
Drawing on complex network theory, this paper combines bus network and subway network
into a multi-subnet composited complex network (MSCCN) of urban public transport (UPT) …
into a multi-subnet composited complex network (MSCCN) of urban public transport (UPT) …