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              <text>COVID-19 Pandemic: Review on Emerging Technology Involvement with Cloud Computing</text>
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              <text>Artificial ?ntelligence; Blockchain; Cloud computing; COVID; Drones; Internet of things; Robots</text>
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              <text>Cloud computing is the latest technology that has a significant influence on everyones life. During the COVID-19 crisis, cloud computing aids cooperation, communication, and vital Internet services. The pandemic situation made the people switch to online mode. The technology helped to bridge the gap between the work space and personal space. A quick evaluation of cloud computing services to health care is conducted through this study in COVID situation. A short overview on how cloud computing technologies are critical for addressing the current predicament has been held. The paper also discusses distant working of cloud computing in health care. Moreover, cloud infrastructure provides a way to connect with different aid personnel. The patient data can be transferred to the cloud for monitoring, surveillance, and diagnosis. Thus, health care is provided instantaneously to all the individuals. Additionally, the study addresses the privacy and security-related issues with appropriate solutions. The paper also briefs on the different kind of services are provided by different CSPs that are cloud service providers to confront this epidemic. This article primarily focuses on cloud computing technology involvement in COVID, and secondary focus is on other technology like blockchain, drones, machine learning and Internet of things in COVID-19.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <text>Anushka Xavier K.; Chetradevee S.L.; Jayapandian N.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-461, pp. 223-233.</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-19-2130-8_18" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-2130-8_18&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137002220&amp;amp;doi=10.1007%2F978-981-19-2130-8_18&amp;amp;partnerID=40&amp;amp;md5=84dc07212e15962ece54413da8d7a4f3" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137002220&amp;amp;doi=10.1007%2f978-981-19-2130-8_18&amp;amp;partnerID=40&amp;amp;md5=84dc07212e15962ece54413da8d7a4f3&lt;/a&gt;</text>
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              <text>ISSN: 23673370; ISBN: 978-981192129-2</text>
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              <text>Anushka Xavier K., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India; Chetradevee S.L., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India; Jayapandian N., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India</text>
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