Predicting the impact of the third wave of COVID-19 in India using hybrid statistical machine learning models: A time series forecasting and sentiment analysis …
Abstract Background Since January 2020, India has faced two waves of COVID-19;
preparation for the upcoming waves is the primary challenge for public health sectors and …
preparation for the upcoming waves is the primary challenge for public health sectors and …
Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy
G Perone - The European Journal of Health Economics, 2021 - Springer
Abstract The coronavirus disease (COVID-19) is a severe, ongoing, novel pandemic that
emerged in Wuhan, China, in December 2019. As of January 21, 2021, the virus had …
emerged in Wuhan, China, in December 2019. As of January 21, 2021, the virus had …
Machine learning and optimization models for supplier selection and order allocation planning
Supplier selection and order allocation have significant roles in supply chain management.
These processes become major challenges when the demand is uncertain. This research …
These processes become major challenges when the demand is uncertain. This research …
[HTML][HTML] Explainable Spatio-Temporal Graph Neural Networks for multi-site photovoltaic energy production
In recent years, there has been a growing demand for renewable energy sources, which are
inherently associated with a decentralized distribution and dependent on weather …
inherently associated with a decentralized distribution and dependent on weather …
A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning
W Jin, S Dong, C Yu, Q Luo - Computers in Biology and Medicine, 2022 - Elsevier
The COVID-19 outbreak poses a huge challenge to international public health. Reliable
forecast of the number of cases is of great significance to the planning of health resources …
forecast of the number of cases is of great significance to the planning of health resources …
Predicting the trend of indicators related to Covid-19 using the combined MLP-MC model
F Haghighat - Chaos, Solitons & Fractals, 2021 - Elsevier
Although more than a year has passed since the coronavirus outbreak globally, the Covid-
19 pandemic conditions still exist in many countries, including Iran. Predicting the number of …
19 pandemic conditions still exist in many countries, including Iran. Predicting the number of …
Forecasting the trends of covid-19 and causal impact of vaccines using bayesian structural time series and arima
Several researchers have used standard time series models to analyze future patterns of
COVID-19 and the Causal impact of vaccinations in various countries. Bayesian structural …
COVID-19 and the Causal impact of vaccinations in various countries. Bayesian structural …
Using the SARIMA model to forecast the fourth global wave of cumulative deaths from COVID-19: Evidence from 12 hard-hit big countries
G Perone - Econometrics, 2022 - mdpi.com
The COVID-19 pandemic is a serious threat to all of us. It has caused an unprecedented
shock to the world's economy, and it has interrupted the lives and livelihood of millions of …
shock to the world's economy, and it has interrupted the lives and livelihood of millions of …
Modelling and forecasting of growth rate of new COVID-19 cases in top nine affected countries: Considering conditional variance and asymmetric effect
A Ekinci - Chaos, Solitons & Fractals, 2021 - Elsevier
COVID-19 pandemic has affected more than a hundred fifty million people and killed over
three million people worldwide over the past year. During this period, different forecasting …
three million people worldwide over the past year. During this period, different forecasting …
An ensemble machine learning approach for time series forecasting of COVID-19 cases
Forecasting assists governments, epidemiologists, and policymakers make calculated
decisions to mitigate the spread of the COVID-19 pandemic, thus saving lives. This paper …
decisions to mitigate the spread of the COVID-19 pandemic, thus saving lives. This paper …