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 …
[HTML][HTML] Artificial intelligence in the fight against COVID-19: scoping review
Background In December 2019, COVID-19 broke out in Wuhan, China, leading to national
and international disruptions in health care, business, education, transportation, and nearly …
and international disruptions in health care, business, education, transportation, and nearly …
[HTML][HTML] Machine learning and deep learning applications-a vision
The application of artificial intelligence is machine learning which is one of the current topics
in the computer field as well as for the new COVID-19 pandemic. Researchers have given a …
in the computer field as well as for the new COVID-19 pandemic. Researchers have given a …
[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 the spread of the COVID-19 pandemic in Saudi Arabia using ARIMA prediction model under current public health interventions
The substantial increase in the number of daily new cases infected with coronavirus around
the world is alarming, and several researchers are currently using various mathematical and …
the world is alarming, and several researchers are currently using various mathematical and …
COVID-19 prediction and detection using deep learning
Currently, the detection of coronavirus disease 2019 (COVID-19) is one of the main
challenges in the world, given the rapid spread of the disease. Recent statistics indicate that …
challenges in the world, given the rapid spread of the disease. Recent statistics indicate that …
Multi-level impacts of the COVID-19 lockdown on agricultural systems in India: The case of Uttar Pradesh
Abstract When on March 24, 2020 the Government of India ordered a complete lockdown of
the country as a response to the COVID-19 pandemic, it had serious unwanted implications …
the country as a response to the COVID-19 pandemic, it had serious unwanted implications …
[HTML][HTML] Modeling and forecasting of COVID-19 using a hybrid dynamic model based on SEIRD with ARIMA corrections
M Ala'raj, M Majdalawieh, N Nizamuddin - Infectious Disease Modelling, 2021 - Elsevier
The outbreak of novel coronavirus (COVID-19) attracted worldwide attention. It has posed a
significant challenge for the global economies, especially the healthcare sector. Even with a …
significant challenge for the global economies, especially the healthcare sector. Even with a …
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 …