Asadi Srinivasulu1*, Tarkeswar Barua1, Srinivas Nowduri2 and Sivaram R2
Today COVID-19 virus development has become one of the most broadly perceived kind of disease. This research work is accomplish different pre-training techniques and strategies associated, under deep recurrent networks (DRN) in classifying X-ray chest images into three broad collection viz., Normal/Negative, Pneumonia positive and COVID-19 positive; based on two other open-source data sets. This five-fold research work is based on data sets consists of 980 X-ray chest images of contaminated COVID-19 patients, along with experimentation using various deep[16] learning[31] and neural network methods; organized in the following way.
English 
Spanish 
Chinese 
Russian 
German 
French 
Japanese 
Portuguese 
Hindi