The role of artificial intelligence in fighting the COVID-19 pandemic
The first few months of 2020 have profoundly changed the way we live our lives and carry
out our daily activities. Although the widespread use of futuristic robotaxis and self-driving …
out our daily activities. Although the widespread use of futuristic robotaxis and self-driving …
Diagnosis of COVID-19 using machine learning and deep learning: a review
Background: This paper provides a systematic review of the application of Artificial
Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in …
Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in …
Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study
Abstract The novel coronavirus (COVID-19) has significantly spread over the world and
comes up with new challenges to the research community. Although governments imposing …
comes up with new challenges to the research community. Although governments imposing …
Time series forecasting of COVID-19 transmission in Canada using LSTM networks
VKR Chimmula, L Zhang - Chaos, solitons & fractals, 2020 - Elsevier
Abstract On March 11 th 2020, World Health Organization (WHO) declared the 2019 novel
corona virus as global pandemic. Corona virus, also known as COVID-19 was first …
corona virus as global pandemic. Corona virus, also known as COVID-19 was first …
Nonlinear neural network based forecasting model for predicting COVID-19 cases
S Namasudra, S Dhamodharavadhani… - Neural processing …, 2023 - Springer
The recent COVID-19 outbreak has severely affected people around the world. There is a
need of an efficient decision making tool to improve awareness about the spread of COVID …
need of an efficient decision making tool to improve awareness about the spread of COVID …
Trend Analysis and Forecasting of COVID-19 outbreak in India
R Gupta, SK Pal - MedRxiv, 2020 - medrxiv.org
COVID-19 is spreading really fast around the world. The current study describes the
situation of the outbreak of this disease in India and predicts the number of cases expected …
situation of the outbreak of this disease in India and predicts the number of cases expected …
A time series-based statistical approach for outbreak spread forecasting: Application of COVID-19 in Greece
C Katris - Expert systems with applications, 2021 - Elsevier
The aim of this paper is the generation of a time-series based statistical data-driven
procedure in order to track an outbreak. At first are used univariate time series models in …
procedure in order to track an outbreak. At first are used univariate time series models in …
Forecasting fully vaccinated people against COVID-19 and examining future vaccination rate for herd immunity in the US, Asia, Europe, Africa, South America, and the …
P Cihan - Applied soft computing, 2021 - Elsevier
Abstract Coronavirus disease 2019 (COVID-2019) has spread rapidly all over the world and
it is known that the most effective way to eliminate the disease is vaccination. Although the …
it is known that the most effective way to eliminate the disease is vaccination. Although the …
Recurrent neural network and reinforcement learning model for COVID-19 prediction
Detection and prediction of the novel Coronavirus present new challenges for the medical
research community due to its widespread across the globe. Methods driven by Artificial …
research community due to its widespread across the globe. Methods driven by Artificial …
ARIMA-based forecasting of the dynamics of confirmed Covid-19 cases for selected European countries
T Kufel - Equilibrium. Quarterly Journal of Economics and …, 2020 - ceeol.com
Research background: On 11 March 2020, the Covid-19 epidemic was identified by the
World Health Organization (WHO) as a global pandemic. The rapid increase in the scale of …
World Health Organization (WHO) as a global pandemic. The rapid increase in the scale of …