<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "COVID Detection Using Chest X-Ray and Transfer Learning"^^ . "As per World Health Organization, COVID-19 is causing even the most important health systems across the countries under considerable strain. The advanced recognition of COVID 19 will result into decreasing the stress of a lot of health systems. Much similar to the customary usage of Chest X-Rays for detecting different pathologies, COVID-19 can also be detected using X-Ray of patients that indicates a very critical function in the diagnosis of SARS Covid-19. With rampant growth in the area of Deep Learning (DL) as well as Machine Learning (ML), it is much easier to design the framework that can detect COVID-19 infection easily. This paper proposes deep learning-based detection process by incorporating the concept of Transfer Learning for the classification of this pandemic using X-ray images of chest. This non-invasive and early-prediction of the corona virus by observing the X-rays of chest can subsequently be utilized to estimate the expansion of COVID-19 in the patients. This study got a maximum of 97 classifiers� accuracy using ResNet based model. This method can be utilized to upscale the effectiveness of the screening process. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG."^^ . "2022" . . "418 LN" . . "Springer Science and Business Media Deutschland GmbH"^^ . . "Springer Science and Business Media Deutschland GmbH"^^ . . . "Lecture Notes in Networks and Systems"^^ . . . "23673370" . . . . . . . . . . . . . . . . "R."^^ . "Kannan"^^ . "R. Kannan"^^ . . "N."^^ . "Sindhwani"^^ . "N. Sindhwani"^^ . . "R."^^ . "Anand"^^ . "R. Anand"^^ . . "S."^^ . "Jain"^^ . "S. Jain"^^ . . . . . "HTML Summary of #17700 \n\nCOVID Detection Using Chest X-Ray and Transfer Learning\n\n" . "text/html" . .