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] Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward

E Elyan, P Vuttipittayamongkol, P Johnston… - Artificial Intelligence …, 2022 - oaepublish.com
The recent development in the areas of deep learning and deep convolutional neural
networks has significantly progressed and advanced the field of computer vision (CV) and …

Coronavirus disease (COVID-19) cases analysis using machine-learning applications

AS Kwekha-Rashid, HN Abduljabbar, B Alhayani - Applied nanoscience, 2023 - Springer
Today world thinks about coronavirus disease that which means all even this pandemic
disease is not unique. The purpose of this study is to detect the role of machine-learning …

Post‐COVID‐19 and globalization of oil and natural gas trade: Challenges, opportunities, lessons, regulations, and strategies

N Norouzi - International journal of energy research, 2021 - Wiley Online Library
Summary The Coronavirus (COVID‐19) outbreak hit the global economy like a tsunami.
Every aspect of human society, including the energy industry and market, is affected by this …

A comprehensive review of the impact of COVID-19 on human reproductive biology, assisted reproduction care and pregnancy: a Canadian perspective

M Madjunkov, M Dviri, C Librach - Journal of ovarian research, 2020 - Springer
Currently, the world is in the seventh month of the COVID-19 pandemic. Globally, infections
with novel SARS-CoV-2 virus are continuously rising with mounting numbers of deaths …

The role of Remote Working in smart cities: lessons learnt from COVID-19 pandemic

A Kylili, N Afxentiou, L Georgiou, C Panteli… - Energy Sources, Part …, 2025 - Taylor & Francis
Half of the world's population has been under lockdown to prevent the spread of COVID-19
pandemic, leading to a large shift of activities from offices to homes. Despite the …

Applications of additive manufacturing (AM) in sustainable energy generation and battle against COVID-19 pandemic: The knowledge evolution of 3D printing

Y Wang, A Ahmed, A Azam, D Bing, Z Shan… - Journal of manufacturing …, 2021 - Elsevier
Sustainable and cleaner manufacturing systems have found broad applications in industrial
processes, especially aerospace, automotive and power generation. Conventional …

Plastic accumulation during COVID-19: call for another pandemic; bioplastic a step towards this challenge?

M Mittal, D Mittal, NK Aggarwal - Environmental Science and Pollution …, 2022 - Springer
Plastic pollution has become a serious transboundary challenge to nature and human
health, with estimation of reports published—predicting a twofold increase in plastic waste …

The COVID-19 wicked problem in public health ethics: conflicting evidence, or incommensurable values?

F Angeli, S Camporesi, G Dal Fabbro - Humanities and Social Sciences …, 2021 - nature.com
While the world was facing a rapidly progressing COVID-19 second wave, a policy paradox
emerged. On the one side, much more was known by Autumn 2020 about the mechanisms …

A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron

A Khan, SH Khan, M Saif, A Batool… - … of Experimental & …, 2024 - Taylor & Francis
ABSTRACT The Coronavirus (COVID-19) outbreak in December 2019 has drastically
affected humans worldwide, creating a health crisis that has infected millions of lives and …