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 …
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 …
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 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 …
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 …
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 …
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 …
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 …
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 …