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 …

A review of tourism sustainability in the era of Covid-19

A Bhatia, B Roy, A Kumar - Journal of Statistics and Management …, 2022 - Taylor & Francis
In the era of COVID-19, most of the countries are in a dilemma about the recovery of the loss
of tourism industry due to the lockdown or to change the track from the disaster to a rare …

Machine intelligence-based trend analysis of COVID-19 for total daily confirmed cases in Asia and Africa

Y Meslie, W Enbeyle, BK Pandey… - … and Applications of …, 2021 - igi-global.com
COVID-19 is likely to pose a significant threat to healthcare, especially for disadvantaged
populations due to the inadequate condition of public health services with people's lack of …

Applications of artificial intelligence, machine learning, big data and the internet of things to the COVID-19 pandemic: A scientometric review using text mining

I Rodriguez-Rodriguez, JV Rodriguez… - International Journal of …, 2021 - mdpi.com
The COVID-19 pandemic has wreaked havoc in every country in the world, with serious
health-related, economic, and social consequences. Since its outbreak in March 2020, many …

Prediction of COVID-19 pandemic measuring criteria using support vector machine, prophet and linear regression models in Indian scenario

AK Gupta, V Singh, P Mathur… - Journal of …, 2021 - Taylor & Francis
The whole world is embroiling the pandemic situation caused by COVID-19, which is
spreading across all countries. As of mid-May, COVID-19 continues to increase the number …

Machine learning, deep learning, and mathematical models to analyze forecasting and epidemiology of COVID-19: a systematic literature review

F Saleem, ASAM Al-Ghamdi, MO Alassafi… - International journal of …, 2022 - mdpi.com
COVID-19 is a disease caused by SARS-CoV-2 and has been declared a worldwide
pandemic by the World Health Organization due to its rapid spread. Since the first case was …

A cross-sectional study of anxiety, stress, perception and mental health towards online learning of school children in India during COVID-19

P Harjule, A Rahman, B Agarwal - Journal of Interdisciplinary …, 2021 - Taylor & Francis
The unprecedented outbreak of coronavirus disease has been spread across the world,
affecting the lifestyle of the people. It has significantly changed the way of global education …

Machine learning with Belief Rule-Based Expert Systems to predict stock price movements

E Hossain, MS Hossain, PO Zander… - Expert Systems with …, 2022 - Elsevier
Price prediction of financial assets has been a key interest for researchers over the decades.
Numerous techniques to predict the price movements have been developed by the …

Identifying COVID-19 by using spectral analysis of cough recordings: a distinctive classification study

N Melek Manshouri - Cognitive neurodynamics, 2022 - Springer
Sound signals from the respiratory system are largely taken as tokens of human health.
Early diagnosis of respiratory tract diseases is of great importance because, if delayed, it …

[HTML][HTML] Traditional machine learning models and bidirectional encoder representations from transformer (BERT)–based automatic classification of tweets about …

JA Benítez-Andrades, JM Alija-Pérez… - JMIR medical …, 2022 - medinform.jmir.org
Background Eating disorders affect an increasing number of people. Social networks
provide information that can help. Objective We aimed to find machine learning models …