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Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
During the current global public health emergency caused by novel coronavirus disease 19
(COVID-19), researchers and medical experts started working day and night to search for …
(COVID-19), researchers and medical experts started working day and night to search for …
[HTML][HTML] Random vector functional link network: Recent developments, applications, and future directions
Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …
classification, regression and clustering, etc. Generally, the back propagation (BP) based …
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 …
[HTML][HTML] Online dynamic ensemble deep random vector functional link neural network for forecasting
This paper proposes a three-stage online deep learning model for time series based on the
ensemble deep random vector functional link (edRVFL). The edRVFL stacks multiple …
ensemble deep random vector functional link (edRVFL). The edRVFL stacks multiple …
Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network
COVID-19, as an infectious disease, has shocked the world and still threatens the lives of
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
Using artificial intelligence techniques for COVID-19 genome analysis
The genome of the novel coronavirus (COVID-19) disease was first sequenced in January
2020, approximately a month after its emergence in Wuhan, capital of Hubei province …
2020, approximately a month after its emergence in Wuhan, capital of Hubei province …
Accident prediction in construction using hybrid wavelet-machine learning
Occupational accident rates in construction projects are usually higher than other industries
in most countries, even though safety management systems are continuously improving …
in most countries, even though safety management systems are continuously improving …
Application of machine learning in the prediction of COVID-19 daily new cases: A sco** review
COVID-19 has produced a global pandemic affecting all over of the world. Prediction of the
rate of COVID-19 spread and modeling of its course have critical impact on both health …
rate of COVID-19 spread and modeling of its course have critical impact on both health …
Prediction and analysis of COVID-19 daily new cases and cumulative cases: times series forecasting and machine learning models
Y Wang, Z Yan, D Wang, M Yang, Z Li, X Gong… - BMC Infectious …, 2022 - Springer
Background COVID-19 poses a severe threat to global human health, especially the USA,
Brazil, and India cases continue to increase dynamically, which has a far-reaching impact on …
Brazil, and India cases continue to increase dynamically, which has a far-reaching impact on …
An extended fuzzy decision-making framework using hesitant fuzzy sets for the drug selection to treat the mild symptoms of Coronavirus Disease 2019 (COVID-19)
The whole world is presently under threat from Coronavirus Disease 2019 (COVID-19), a
new disease spread by a virus of the corona family, called a novel coronavirus. To date, the …
new disease spread by a virus of the corona family, called a novel coronavirus. To date, the …