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4th International Conference on Computational Intelligence in Pattern Recognition, CIPR 2022 ; 480 LNNS:1-10, 2022.
Article in English | Scopus | ID: covidwho-1958943

ABSTRACT

Lung abnormality is a prevalent condition that affects people of all ages, and it can be caused by a variety of factors. The lung illness caused by SARS-CoV-2 has recently spread across the globe, and the World Health Organization (WHO) has labelled it a pandemic disease owing to its quickness. Covid-19 mainly attacks the lungs of those infected, resulting in mortality from ARDS and pneumonia in extreme instances. Internal body organ disorders are thought to be more acute, making diagnosis more complex and time-consuming. The source of any illness, location and severity are determined by a pulmonologist basing upon a good number of tests taken in the laboratories or even outside these after the hospitalization of a patient. In between a lot of time is taken to carry out these tests and prediction of COVID 19 is done. The purpose of this work is to propose a model based on CNN and finding out the best fit segmentation algorithm to apply to the chest X-ray scans in order to predict the test result. Most importantly the result is instantaneous. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

2.
J. Phys. Conf. Ser. ; 1797, 2021.
Article in English | Scopus | ID: covidwho-1139939

ABSTRACT

Corona virus (COVID-19) outbreaks have severely disrupted the economy, with devastating effects on global trade and it has simultaneously affected households, businesses, financial institution, industrial establishments and infrastructure companies. The economic crisis caused by the virus has hit many more organizations around the world. Similarly, construction and engineering projects around the world have been jeopardize in various way by the COVID-19 pandemic and many projects have closed. As a result, there has been a financial recession in the construction industry in almost all countries and has created unemployment. All in all, this situation has caused great concern, uncertainty and unrest in the construction industry. This paper observes in several countries and describes the global impact of the Corona virus on the construction industry. This paper also explains how it is possible to continue construction work in this situation. If construction work continues, the economic downturn will be reduced and unemployment will be reduced. © 2021 Institute of Physics Publishing. All rights reserved.

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