[HTML][HTML] Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks

S Nazir, DM Dickson, MU Akram - Computers in Biology and Medicine, 2023 - Elsevier
Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease
diagnosis with their outstanding image classification performance. In spite of the outstanding …

[HTML][HTML] Deep Learning applications for COVID-19

C Shorten, TM Khoshgoftaar, B Furht - Journal of big Data, 2021 - Springer
This survey explores how Deep Learning has battled the COVID-19 pandemic and provides
directions for future research on COVID-19. We cover Deep Learning applications in Natural …

A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations

M Li, D Yin, H Qiu, B Bai - International Journal of Hospitality Management, 2021 - Elsevier
The hospitality and tourism industry faces serious challenges during public health
emergencies such as COVID-19. Managers are concerned not only about how to maintain …

An IoT-based framework for early identification and monitoring of COVID-19 cases

M Otoom, N Otoum, MA Alzubaidi, Y Etoom… - … signal processing and …, 2020 - Elsevier
The world has been facing the challenge of COVID-19 since the end of 2019. It is expected
that the world will need to battle the COVID-19 pandemic with precautious measures, until …

A review of modern technologies for tackling COVID-19 pandemic

A Kumar, PK Gupta, A Srivastava - Diabetes & Metabolic Syndrome …, 2020 - Elsevier
Objective Science and technology sector constituting of data science, machine learning and
artificial intelligence are contributing towards COVID-19. The aim of the present study is to …

Artificial intelligence adoption in the post COVID-19 new-normal and role of smart technologies in transforming business: a review

P Agarwal, S Swami, SK Malhotra - Journal of Science and …, 2024 - emerald.com
Purpose The purpose of this paper is to give an overview of artificial intelligence (AI) and
other AI-enabled technologies and to describe how COVID-19 affects various industries …

Effectiveness of COVID-19 diagnosis and management tools: A review

W Alsharif, A Qurashi - Radiography, 2021 - Elsevier
Objective To review the available literature concerning the effectiveness of the COVID-19
diagnostic tools. Background With the absence of specific treatment/vaccines for the …

Machine learning applications for COVID-19 outbreak management

A Heidari, N Jafari Navimipour, M Unal… - Neural Computing and …, 2022 - Springer
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …

Face masks and respirators in the fight against the COVID-19 pandemic: A review of current materials, advances and future perspectives

K O'Dowd, KM Nair, P Forouzandeh, S Mathew, J Grant… - Materials, 2020 - mdpi.com
The outbreak of COVID-19 has spread rapidly across the globe, greatly affecting how
humans as a whole interact, work and go about their daily life. One of the key pieces of …

Deepsocial: Social distancing monitoring and infection risk assessment in covid-19 pandemic

M Rezaei, M Azarmi - Applied Sciences, 2020 - mdpi.com
Social distancing is a recommended solution by the World Health Organisation (WHO) to
minimise the spread of COVID-19 in public places. The majority of governments and …