OBSERVATION OF LIMIT TORUS AND CATASTROPHE POINT IN OPTOMECHANICAL SYSTEMS



COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray images

The term COVID-19 is an abbreviation of Coronavirus 2019, which is considered a global pandemic that threatens the lives of millions of people.Early detection of the disease offers ample opportunity of recovery and prevention of spreading.This paper proposes a method for classification and early detection of COVID-19 through image processing using

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