[HTML][HTML] Adoption of digital technologies in health care during the COVID-19 pandemic: systematic review of early scientific literature

D Golinelli, E Boetto, G Carullo, AG Nuzzolese… - Journal of medical …, 2020 - jmir.org
Background The COVID-19 pandemic is favoring digital transitions in many industries and in
society as a whole. Health care organizations have responded to the first phase of the …

[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 …

Inferring the effectiveness of government interventions against COVID-19

JM Brauner, S Mindermann, M Sharma, D Johnston… - Science, 2021 - science.org
INTRODUCTION Governments across the world have implemented a wide range of
nonpharmaceutical interventions (NPIs) to mitigate the spread of severe acute respiratory …

A SIR model assumption for the spread of COVID-19 in different communities

I Cooper, A Mondal, CG Antonopoulos - Chaos, Solitons & Fractals, 2020 - Elsevier
In this paper, we study the effectiveness of the modelling approach on the pandemic due to
the spreading of the novel COVID-19 disease and develop a susceptible-infected-removed …

The challenge and opportunity of battery lifetime prediction from field data

V Sulzer, P Mohtat, A Aitio, S Lee, YT Yeh… - Joule, 2021 - cell.com
Accurate battery life prediction is a critical part of the business case for electric vehicles,
stationary energy storage, and nascent applications such as electric aircraft. Existing …

Electrochemical SARS-CoV-2 sensing at point-of-care and artificial intelligence for intelligent COVID-19 management

AK Kaushik, JS Dhau, H Gohel, YK Mishra… - ACS Applied Bio …, 2020 - ACS Publications
To manage the COVID-19 pandemic, development of rapid, selective, sensitive diagnostic
systems for early stage β-coronavirus severe acute respiratory syndrome (SARS-CoV-2) …

Artificial intelligence (AI) and big data for coronavirus (COVID-19) pandemic: a survey on the state-of-the-arts

QV Pham, DC Nguyen, T Huynh-The, WJ Hwang… - IEEE …, 2020 - ieeexplore.ieee.org
The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec.
2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and …

Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

A comprehensive survey of enabling and emerging technologies for social distancing—Part I: Fundamentals and enabling technologies

CT Nguyen, YM Saputra, N Van Huynh… - Ieee …, 2020 - ieeexplore.ieee.org
Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses
such as COVID-19. By minimizing the close physical contact among people, we can reduce …

SEIR modeling of the Italian epidemic of SARS-CoV-2 using computational swarm intelligence

A Godio, F Pace, A Vergnano - International journal of environmental …, 2020 - mdpi.com
We applied a generalized SEIR epidemiological model to the recent SARS-CoV-2 outbreak
in the world, with a focus on Italy and its Lombardy, Piedmont, and Veneto regions. We …