Overview
- Presents an introduction to the Metaverse technology
- Focuses at cutting-edge technology like AI, digital twins, AR, VR as facilitators for the Metaverse's evolution
- Presents Metaverse technology with dominant applications such as education, medicine, industry, workplace
Part of the book series: Studies in Big Data (SBD, volume 123)
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Table of contents (14 chapters)
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Metaverse and its Applications
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Emerging Technologies in Metaverse World
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Cybersecurity in Metaverse
Keywords
About this book
This book is divided into three parts. The first part discusses the Metaverse's basics, development, and optional applications such as 3D virtual dressing room-based user-friendly Metaverse, the use of Metaverse in the healthcare and environment sectors as well as the ethics of the Metaverse and digital virtual environments. Part two presents some chapters that discuss emerging technologies in the Metaverse world including IoT, digital twining, and artificial intelligence and shows its impact on climate change. The third part contains chapters discussing cybersecurity in the Metaverse including blockchain technology opportunities and applications and the threat of the digital humanities in the Metaverse. The book is suitable for students and academics aiming to build up their background on the Future of the Metaverse in the Virtual Era and Physical World.
Editors and Affiliations
Bibliographic Information
Book Title: The Future of Metaverse in the Virtual Era and Physical World
Editors: Aboul Ella Hassanien, Ashraf Darwish, Mohamed Torky
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-031-29132-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-29131-9Published: 17 May 2023
Softcover ISBN: 978-3-031-29134-0Published: 18 May 2024
eBook ISBN: 978-3-031-29132-6Published: 16 May 2023
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: VIII, 265
Number of Illustrations: 8 b/w illustrations, 75 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Big Data