ABSTRACT
The world is affected by an existential global health crisis called the COVID-19 pandemic. Countries like the United States, India and Russia are still having and gaining positive COVID cases, which results in the deaths of hundreds and thousands of people. Admitting the actuality that there are several vaccinations on the market at the moment, positive cases continue to rise. Consequently, there is a critical need for quick infection detection with clear visualization so that a suspected COVID-19 patient can be spared. Tests, namely Polymerase chain reaction (PCR), Lateral flow tests (LFTs), need to send to a laboratory for examination, so patients may have to wait for a few days to get their results, but still, the final results aren't accurate. CT Scan pictures are a commonly utilized imaging modality among previously existing, low-cost and widely available resources, but deep learning approaches have attained state-of-the-art performance in computer-aided medical diagnosis. The goal of our paper is to employ CNN (Convolutional Neural Network) and find whether the patient has COVID-19 or not by using CT scan pictures. The suggested method employs convolutional neural networks as part of its deep learning techniques. COVID19 was diagnosed using the CNN model with various filters, and they achieved accuracy with 85.34%, 87.46% and 88.15%, respectively. Doctors can employ COVID-19 automated diagnosis using CT scan pictures as a quick and effective technique to detect COVID-19 © 2022 IEEE.
ABSTRACT
At present, every live human being is worrying of COVID-19 and its varying forms to be attacked and its consequences. To invent the drug and vaccine, it is becoming a harder task that makes people hard to survive with this disease. Many people are getting this covid-19 because of contaminated environment as well as un-disciplinary actions. To avoid the spreading of COVID-19, the populace has to be aware with several sectors such as use of sanitizer, drinking of hot water, having of nutrition drink and hygiene food, and last but not the least consumption of immunity boosters. In this paper, we focus on developing an eco-friendly mask which not only prevents against COVID-19 but also purifies the air intake. The objective of this invention is to fight efficiently against COVID-19 pandemic in terms of preventing the spreading of Corona virus. The performance of this mask is validated against the conventional mask by considering and its maintenance will judge the success of this in the global mass society. Not only to face COVID, but also to face the pandemics to be raised in the future too. Hence, the proposed materialistic method using corona sensor will guide about corona surfaces and objects in the surrounding environment. © Published under licence by IOP Publishing Ltd.