Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review

M Khan, MT Mehran, ZU Haq, Z Ullah, SR Naqvi… - Expert systems with …, 2021 - Elsevier
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 …

[HTML][HTML] Random vector functional link network: Recent developments, applications, and future directions

AK Malik, R Gao, MA Ganaie, M Tanveer… - Applied Soft …, 2023 - Elsevier
Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …

Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review

C Comito, C Pizzuti - Artificial intelligence in medicine, 2022 - Elsevier
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 …

[HTML][HTML] Online dynamic ensemble deep random vector functional link neural network for forecasting

R Gao, R Li, M Hu, PN Suganthan, KF Yuen - Neural Networks, 2023 - Elsevier
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 …

Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network

WM Shaban, AH Rabie, AI Saleh, MA Abo-Elsoud - Applied soft computing, 2021 - Elsevier
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 …

Using artificial intelligence techniques for COVID-19 genome analysis

MS Nawaz, P Fournier-Viger, A Shojaee, H Fujita - Applied Intelligence, 2021 - Springer
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 …

Accident prediction in construction using hybrid wavelet-machine learning

K Koc, Ö Ekmekcioğlu, AP Gurgun - Automation in construction, 2022 - Elsevier
Occupational accident rates in construction projects are usually higher than other industries
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

S Ghafouri-Fard, H Mohammad-Rahimi, P Motie… - Heliyon, 2021 - cell.com
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 …

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 …

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)

AR Mishra, P Rani, R Krishankumar… - Applied soft …, 2021 - Elsevier
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 …