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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 AI-based Power Screening Solution for SARS-CoV2 Infection: A Sociodemographic Survey and COVID-19 Cough Detector Subject The topic of the resource Artificial Intelligence; Coronavirus (SARS -CoV2); Machine Learning; Pathomorphological Variations; Power Screening Solutions Description An account of the resource Globally, the confirmed coronavirus (SARS-CoV2) cases are being increasing day by day. Coronavirus (COVID-19) causes an acute infection in the respiratory tract that started spreading in late 2019. Huge datasets of SARS-CoV2 patients can be incorporated and analyzed by machine learning strategies for understanding the pattern of pathological spread and helps to analyze the accuracy and speed of novel therapeutic methodologies, also detect the susceptible people depends on their physiological and genetic aspects. To identify the possible cases faster and rapidly, we propose the Artificial Intelligence (AI) power screening solution for SARS- CoV2 infection that can be deployable through the mobile application. It collects the details of the travel history, symptoms, common signs, gender, age and diagnosis of the cough sound. To examine the sharpness of pathomorphological variations in respiratory tracts induced by SARS-CoV2, that compared to other respiratory illnesses to address this issue. To overcome the shortage of SARS-CoV2 datasets, we apply the transfer learning technique. Multipronged mediator for risk-averse Artificial Intelligence Architecture is induced for minimizing the false diagnosis of risk-stemming from the problem of complex dimensionality. This proposed application provides early detection and prior screening for SARS-CoV2 cases. Huge data points can be processed through AI framework that can examine the users and classify them into "Probably COVID", "Probably not COVID"and "Result indeterminate". 2021 The Authors. Published by Elsevier B.V. Creator An entity primarily responsible for making the resource Sadhana S.; Pandiarajan S.; Sivaraman E.; Daniel D. Source A related resource from which the described resource is derived Procedia Computer Science, Vol-194, pp. 255-271. Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.procs.2021.10.081" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.procs.2021.10.081</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121772522&amp;doi=10.1016%2Fj.procs.2021.10.081&amp;partnerID=40&amp;md5=7bb8e43b57bea0d97f5613e9546f8298" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121772522&amp;doi=10.1016%2fj.procs.2021.10.081&amp;partnerID=40&amp;md5=7bb8e43b57bea0d97f5613e9546f8298</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 18770509 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sadhana S., Department of CSE, Kalaignarkarunanidhi Institute of Technology, Coimbatore, India; Pandiarajan S., Department of CSE, Kalaignarkarunanidhi Institute of Technology, Coimbatore, India; Sivaraman E., Department of CSE, PES University, Bangalore, India; Daniel D., Department of CSE, Christ (Deemed to Be University), Bangalore, India