Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource SarNet-1 -A Novel Architecture for Diagnosing Covid-19 Pneumonia and Pneumonia through Chest X-Ray Images Subject The topic of the resource Deep learning, Convolutional Neural Network(CNN). Chest X-ray images (CXR) Pneumonia detection COVID-19 Description An account of the resource Coronavirus (COVID-19) is a contagious disease which begins with flu-like symptoms. COVID-19 arose in China and it rapidly spread throughout the globe, leading to a pandemic. For many, it was noticed that the infection started with fever, cough and finally leading to pneumonia. It is very necessary to differentiate between covid pneumonia and general pneumonia for appropriate treatment. Chest X-ray readings are useful for radiologists to identify the severity of infection. While computerising this mechanism, deep learning techniques are found to be very useful in extracting relevant features from medical images. This can help in differentiating pneumonia, COVID19 pneumonia and x-rays of a healthy person. Computer aided methods for identifying the presence of pneumonia can help health providers to a great extent for quick diagnosis. The X-rays gathered from freely available datasets are used in this work to propose an architecture for categorising X-rays into pneumonia and covid pneumonia. 2022 International Journal on Recent and Innovation Trends in Computing and Communication. All rights reserved. Creator An entity primarily responsible for making the resource Unnisa S.; Vijayalakshmi A. Source A related resource from which the described resource is derived International Journal on Recent and Innovation Trends in Computing and Communication, Vol-10, No. 1, pp. 1-7. Publisher An entity responsible for making the resource available Auricle Global Society of Education and Research Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.17762/ijritcc.v10i1s.5789" target="_blank" rel="noreferrer noopener">https://doi.org/10.17762/ijritcc.v10i1s.5789</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144399756&amp;doi=10.17762%2Fijritcc.v10i1s.5789&amp;partnerID=40&amp;md5=492abaab37fed4537acae34086273a42" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144399756&amp;doi=10.17762%2fijritcc.v10i1s.5789&amp;partnerID=40&amp;md5=492abaab37fed4537acae34086273a42</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23218169 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Unnisa S., Department of Computer Science, CHRIST Deemed to be University, Bangalore, India; Vijayalakshmi A., Department of Computer Science, CHRIST Deemed to be University, Bangalore, India