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 …
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 …
[HTML][HTML] Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal …
Several machine learning and deep learning models were reported in the literature to
forecast COVID-19 but there is no comprehensive report on the comparison between …
forecast COVID-19 but there is no comprehensive report on the comparison between …
Forecasting of COVID-19 using deep layer recurrent neural networks (RNNs) with gated recurrent units (GRUs) and long short-term memory (LSTM) cells
In December 2019, first case of the COVID-19 was reported in Wuhan, Hubei province in
China. Soon world health organization has declared contagious coronavirus disease (aka …
China. Soon world health organization has declared contagious coronavirus disease (aka …
[HTML][HTML] Forecasting of COVID-19 cases using deep learning models: Is it reliable and practically significant?
J Devaraj, RM Elavarasan, R Pugazhendhi… - Results in Physics, 2021 - Elsevier
The ongoing outbreak of the COVID-19 pandemic prevails as an ultimatum to the global
economic growth and henceforth, all of society since neither a curing drug nor a preventing …
economic growth and henceforth, all of society since neither a curing drug nor a preventing …
Time series prediction for the epidemic trends of COVID-19 using the improved LSTM deep learning method: Case studies in Russia, Peru and Iran
P Wang, X Zheng, G Ai, D Liu, B Zhu - Chaos, Solitons & Fractals, 2020 - Elsevier
The COVID-19 outbreak in late December 2019 is still spreading rapidly in many countries
and regions around the world. It is thus urgent to predict the development and spread of the …
and regions around the world. It is thus urgent to predict the development and spread of the …
Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization
H Abbasimehr, R Paki - Chaos, Solitons & Fractals, 2021 - Elsevier
COVID-19 virus has encountered people in the world with numerous problems. Given the
negative impacts of COVID-19 on all aspects of people's lives, especially health and …
negative impacts of COVID-19 on all aspects of people's lives, especially health and …
A proficient approach to forecast COVID-19 spread via optimized dynamic machine learning models
This study aims to develop an assumption-free data-driven model to accurately forecast
COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the …
COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the …
[HTML][HTML] Role of machine learning techniques to tackle the COVID-19 crisis: systematic review
Background: SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
havoc worldwide, with patients presenting a spectrum of complications that have pushed …