Machine learning applications for COVID-19 outbreak management
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …
practically every area of human life. Several machine learning (ML) approaches are …
Optimization in the context of COVID-19 prediction and control: A literature review
This paper presents an overview of some key results from a body of optimization studies that
are specifically related to COVID-19, as reported in the literature during 2020-2021. As …
are specifically related to COVID-19, as reported in the literature during 2020-2021. As …
Random-forest-bagging broad learning system with applications for COVID-19 pandemic
The rapid geographic spread of COVID-19, to which various factors may have contributed,
has caused a global health crisis. Recently, the analysis and forecast of the COVID-19 …
has caused a global health crisis. Recently, the analysis and forecast of the COVID-19 …
A decomposition-ensemble broad learning system for AQI forecasting
The combination of decomposition algorithms and prediction models is a common structure
for air quality time series forecasting. In this study, we develop a dynamic decomposition …
for air quality time series forecasting. In this study, we develop a dynamic decomposition …
Analysis of performance improvements and bias associated with the use of human mobility data in covid-19 case prediction models
The COVID-19 pandemic has mainstreamed human mobility data into the public domain,
with research focused on understanding the impact of mobility reduction policies as well as …
with research focused on understanding the impact of mobility reduction policies as well as …
An investigation of testing capacity for evaluating and modeling the spread of coronavirus disease
C Zhan, J Chen, H Zhang - Information sciences, 2021 - Elsevier
Despite the consistent recommendation to scale-up the testing of severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2), comprehensive analysis on determining the …
syndrome coronavirus 2 (SARS-CoV-2), comprehensive analysis on determining the …
Real-time infectious disease endurance indicator system for scientific decisions using machine learning and rapid data processing
Abstract The SARS-CoV-2 virus, which induces an acute respiratory illness commonly
referred to as COVID-19, had been designated as a pandemic by the World Health …
referred to as COVID-19, had been designated as a pandemic by the World Health …
Estimating unconfirmed COVID-19 infection cases and multiple waves of pandemic progression with consideration of testing capacity and non-pharmaceutical …
The novel coronavirus disease 2019 (COVID-19), caused by severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2), has unique epidemiological characteristics that …
syndrome coronavirus 2 (SARS-CoV-2), has unique epidemiological characteristics that …
A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile
A computational approach is adapted to analyze the parameter identifiability of a
compartmental model. The model is intended to describe the progression of the COVID-19 …
compartmental model. The model is intended to describe the progression of the COVID-19 …
Differential evolution and particle swarm optimization against COVID-19
AP Piotrowski, AE Piotrowska - Artificial Intelligence Review, 2022 - Springer
COVID-19 disease, which highly affected global life in 2020, led to a rapid scientific
response. Versatile optimization methods found their application in scientific studies related …
response. Versatile optimization methods found their application in scientific studies related …