Efficient COVID-19 identification using deep learning for IoT

V Veeraiah, A Pankajam, E Vashishtha… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) has made it possible to diagnose and treat patients remotely, as well
as to expedite the transportation of essential drugs and medical equipment to locations that …

An IoT-based deep learning framework for early assessment of COVID-19

I Ahmed, A Ahmad, G Jeon - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Advancement in the Internet of Medical Things (IoMT), along with machine learning, deep
learning, and artificial intelligence techniques, initiated a world of possibilities in healthcare …

[Retracted] IoT‐Enabled Framework for Early Detection and Prediction of COVID‐19 Suspects by Leveraging Machine Learning in Cloud

MH Mir, S Jamwal, A Mehbodniya… - Journal of healthcare …, 2022 - Wiley Online Library
COVID‐19 is the repugnant but the most searched word since its outbreak in November
2019 across the globe. The world has to battle with it until an effective solution is developed …

Convolutional Neural Network-based Covid-19 Analysis with Internet of Things

T Saravanan, D Ramalingam… - … in Intelligent Control …, 2022 - ieeexplore.ieee.org
The very hazardous respiratory illness known as COVID-2 (SARS-CoV-2), which is the root
cause of the even more serious illness known as COVID-19, was caused by the COVID-2 …

Intelligent internet of things and advanced machine learning techniques for COVID-19

C Chakraborty, A Abougreen - EAI Endorsed Transactions on Pervasive …, 2021 - eudl.eu
Abstract INTRODUCTION: Coronavirus disease (COVID-19) has recently emerged around
the world. The beginning of the disease was in the Chinese city of Wuhan and then it has …

A measurement approach using smart-IoT based architecture for detecting the COVID-19

M Poongodi, TN Nguyen, M Hamdi, K Cengiz - Neural Processing Letters, 2021 - Springer
The corona virus has infected the entire world in the most severe ways. Many countries
found the situation is very difficult to deal with and their health support infrastructure is not …

Early prediction of COVID-19 using ensemble of transfer learning

PK Roy, A Kumar - Computers and Electrical Engineering, 2022 - Elsevier
In the wake of the COVID-19 outbreak, automated disease detection has become a crucial
part of medical science given the infectious nature of the coronavirus. This research aims to …

[HTML][HTML] Assessment of machine learning techniques in IoT-based architecture for the monitoring and prediction of COVID-19

A Aljumah - Electronics, 2021 - mdpi.com
From the end of 2019, the world has been facing the threat of COVID-19. It is predicted that,
before herd immunity is achieved globally via vaccination, people around the world will have …

[HTML][HTML] Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning

MV Madhavan, A Khamparia, D Gupta, S Pande… - Neural Computing and …, 2023 - Springer
Major countries are globally facing difficult situations due to this pandemic disease, COVID-
19. There are high chances of getting false positives and false negatives identifying the …

Deep convolutional neural network based Covid-19 classification from radiology X-Ray images for IoT enabled devices

YH Bhosale, S Zanwar, Z Ahmed… - 2022 8th …, 2022 - ieeexplore.ieee.org
The Coronavirus Disease 2019 (COVID19) epidemic, which erupted at the end of 2019,
continued rapidly throughout the nations from Wuhan, China. This highly contagious …