Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review
The outbreak of novel corona virus 2019 (COVID-19) has been treated as a public health
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …
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 …
Deepcovidnet: An interpretable deep learning model for predictive surveillance of covid-19 using heterogeneous features and their interactions
In this paper, we propose a deep learning model to forecast the range of increase in COVID-
19 infected cases in future days and we present a novel method to compute …
19 infected cases in future days and we present a novel method to compute …
Deep learning for Covid-19 forecasting: State-of-the-art review.
The Covid-19 pandemic has galvanized scientists to apply machine learning methods to
help combat the crisis. Despite the significant amount of research there exists no …
help combat the crisis. Despite the significant amount of research there exists no …
ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound
Globally, many research works are going on to study the infectious nature of COVID-19 and
every day we learn something new about it through the flooding of the huge data that are …
every day we learn something new about it through the flooding of the huge data that are …
Applying deep learning methods on time‐series data for forecasting COVID‐19 in Egypt, Kuwait, and Saudi Arabia
The novel coronavirus disease (COVID‐19) is regarded as one of the most imminent
disease outbreaks which threaten public health on various levels worldwide. Because of the …
disease outbreaks which threaten public health on various levels worldwide. Because of the …
Application of artificial intelligence-based regression methods in the problem of COVID-19 spread prediction: a systematic review
J Musulin, S Baressi Šegota, D Štifanić… - International journal of …, 2021 - mdpi.com
COVID-19 is one of the greatest challenges humanity has faced recently, forcing a change in
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
Robust modelling and prediction of the COVID-19 pandemic in Canada
S Khalilpourazari… - International Journal of …, 2023 - Taylor & Francis
Since the beginning of COVID-19, more than 13,036,550 people have been infected, and
571,574 died because of the disease by July 13, 2020. Developing new methodologies to …
571,574 died because of the disease by July 13, 2020. Developing new methodologies to …
Inter-series attention model for COVID-19 forecasting
COVID-19 pandemic has an unprecedented impact all over the world since early 2020.
During this public health crisis, reliable forecasting of the disease becomes critical for …
During this public health crisis, reliable forecasting of the disease becomes critical for …