COVID-19 diagnosis—A review of current methods

M Yüce, E Filiztekin, KG Özkaya - Biosensors and Bioelectronics, 2021 - Elsevier
A fast and accurate self-testing tool for COVID-19 diagnosis has become a prerequisite to
comprehend the exact number of cases worldwide and to take medical and governmental …

Mapping the landscape of artificial intelligence applications against COVID-19

J Bullock, A Luccioni, KH Pham, CSN Lam… - Journal of Artificial …, 2020 - jair.org
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by
the World Health Organization, which has reported over 18 million confirmed cases as of …

A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)

S Wang, B Kang, J Ma, X Zeng, M Xiao, J Guo, M Cai… - European …, 2021 - Springer
Abstract Objective The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2
(SARS-COV-2) has caused more than 26 million cases of Corona virus disease (COVID-19) …

Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing

S Tuli, S Tuli, R Tuli, SS Gill - Internet of things, 2020 - Elsevier
The outbreak of COVID-19 Coronavirus, namely SARS-CoV-2, has created a calamitous
situation throughout the world. The cumulative incidence of COVID-19 is rapidly increasing …

Diagnosing COVID-19 pneumonia from X-ray and CT images using deep learning and transfer learning algorithms

HS Maghdid, AT Asaad, KZ Ghafoor… - … and learning 2021, 2021 - spiedigitallibrary.org
The novel coronavirus 2019 (COVID-19) first appeared in Wuhan province of China and
spread quickly around the globe and became a pandemic. The gold standard for confirming …

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 …

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 …

Electrochemical sensors for the detection of SARS-CoV-2 virus

N Kumar, NP Shetti, S Jagannath… - Chemical Engineering …, 2022 - Elsevier
Abstract Coronavirus (COVID-19), a deadly pandemic has spread worldwide and created
many global health issues. Though methods of its detection are being continuously …

Trends in IoT based solutions for health care: Moving AI to the edge

L Greco, G Percannella, P Ritrovato, F Tortorella… - Pattern recognition …, 2020 - Elsevier
In recent times, we assist to an ever growing diffusion of smart medical sensors and Internet
of things devices that are heavily changing the way healthcare is approached worldwide. In …

The recent technologies to curb the second-wave of COVID-19 pandemic

M Poongodi, M Malviya, M Hamdi, HT Rauf… - Ieee …, 2021 - ieeexplore.ieee.org
Different epidemics, specially Coronavirus, have caused critical misfortunes in various fields
like monetary deprivation, survival conditions, thus diminishing the overall individual …