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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Digital twin technologies for automated vehicles in smart healthcare systems Subject The topic of the resource autonomous vehicles; electronic automation; Health 4.0; Industry 4.0; Internet of Things; manufacturing systems Description An account of the resource The idea of being comfortable seems appealing to a vast majority of people, from the start humans were always dependent on something. First the tools were invented and with the help of the tools, amazing things were built. From the invention of the wheel to the steam-powered machines and now the introduction of electronic automation, digitization and making intelligent production processes is the need for todays industry. Industry 4.0 is now the standard by which businesses must measure their progress. It enables businesses to reinvent themselves. Manufacturing systems go beyond simple connections here, communicating, analyzing, and using data to drive more intelligent activities. It combines Internet of Things (IoT), analytics, additive manufacturing, robots, artificial intelligence, sophisticated materials, and augmented reality. The autonomous vehicle (AV) is one of the applications of Industry 4.0. AVs can make passenger transfers more efficient. Furthermore, smart sensors, when combined with cognitive computing and IoT, portray an AV as a cyber-physical system where data from all relevant viewpoints is closely monitored and synced between physical devices and the cyber computational realm. By utilizing sophisticated information analytics, AVs will be able to work more effectively, collaboratively, and resiliently. As a result, AVs might be able to work with Industry 4.0 systems. 2023 Elsevier Inc. All rights reserved. Creator An entity primarily responsible for making the resource Indrakumari R.; Poongodi T.; Sagar S.; Vijayalakshmi Source A related resource from which the described resource is derived Digital Twin for Smart Manufacturing, pp. 161-184. Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/B978-0-323-99205-3.00008-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-323-99205-3.00008-0</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175386303&amp;doi=10.1016%2FB978-0-323-99205-3.00008-0&amp;partnerID=40&amp;md5=14cb85a134e9d22dfd1e06d8b0e27934" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175386303&amp;doi=10.1016%2fB978-0-323-99205-3.00008-0&amp;partnerID=40&amp;md5=14cb85a134e9d22dfd1e06d8b0e27934</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-032399205-3; 978-032395840-0 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Indrakumari R., School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, Greater Noida, India; Poongodi T., School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, Greater Noida, India; Sagar S., School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, Greater Noida, India; Vijayalakshmi, Department of Data Science CHRIST (deemed to be University), Maharashtra, Lavasa, India