Development of hybrid technology using Machine Learning and Block chain Technology to prevent from COVID 19 through the proper information gathering

Blockchain and artificial intelligence (AI) have shown promise in combating the Covid epidemic. Blockchain in particular may aid in early detection to fight pandemics. The methods established for infection prevention include the use of face masks, public isolation within a 6 metre radius, regular check-ups, and two doses of vaccinations.This system has features for detecting masks, people, temperature, information tracking, in-person interactions, and a person's medical history. Diseases might be monitored and their spread contained with the advancement of technology and the rise in smartphone use. Because additional economic sectors are opening up and because Covid is still spreading widely, adhering to the guidelines is more important than ever for avoiding infection. © 2023 IEEE.

A Robust Framework for Governing Blockchain-Based Distributed Ledgers During COVID-19 for Academic Establishments

The existing COVID-19 global epidemic has altered our lifestyles in different manners. It has created the need to always understand our position, which we have been seen in interaction with, as well as other specifics such as our body temp and to prevent the spread of such a viral infection. The above knowledge is especially important for students, as their yield to college tends to increase their occupational exposure. To solve this issue, several control systems must always be incorporated. Humans presently use thermoelectric detectors to search a person's temperature changes, card machines in bus routes to verify educators’ existence, and web platforms in which educators can register the attendance of the student for every class. Humans can use blockchain technology to connect and interact and develop an efficient, translucent COVID-19 tracking system. Throughout this paper, we start debating a fresh distributed ledgers traceability system that guarantees accountability among both students, schools, and the authorities to avoid virus spread and aid in interaction tracing. Utilizing blockchain technology and classroom Identity card, we support the implementation of the ancient nearby. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

CNNCD screening model to distinguish covid-virus by using chest X-ray and transfer learning

Coronavirus disease has been announced as a pandemic by World Health Organization and till this date 2,683,536 are lost their lives due to Covid-19. The one and only way to reduce the cases is Quarantine the patients that who are tested Covid-19 positive. Researchers have done Different kind of design deep learning models to screen the Covid-19 pandemic. They discovered different deep learning models to detect the Covid-19 using chest X-Rays most of the methods having less accuracy rate. In few models Overfitting problem increasing difficulties in most of the models. In this Article an automatic Covid-19 Screening model is developed to identify the Covid Detection, Pneumonia and Normal. Different learning techniques used separately to learn the model like CNN, VGG16 and ResNet. From those three models VGG-16 is giving better performance. © 2021 Karadeniz Technical University. All rights reserved.