MetaConstructs: The Evolution of Digital Twins in the Metaverse Era provides information on emerging fields of next-generation digital twins, with a special emphasis on developments and applications in IoT, artificial intelligence, deep learning techniques, virtual reality, augmented reality, internet of medical things (IoMT), optimization techniques, decision-making, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The metaverse technology represents a comprehensive virtual world where everything and everyone interacts similarly to what we would do in the real world. The concept of the metaverse has gained a lot of prominence after several cryptocurrency networks adopted the technology.
With the metaverse technology, virtual reality becomes a persistent virtual environment that exists even when you are not engaging with it. The digital twin in IoT (Internet of things) and the metaverse are the next big step in our technological evolution as these two technologies continue to shorten the gap between humans and the digital world.
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Table of Contents
- Privacy, security, and ethical considerations
- Artificial intelligence/machine learning for digital twins enabled metaverse
- Digital twins in healthcare development of an accurate machine learning model for health monitoring through digital twins
- Revolutionizing health care: the role of digital twins in personalized medicine
- Digital twin and education: a revolutionary pathway to learning
- Bridging real and virtual worlds through digital twins and the metaverse in cultural heritage preservation
- Enhancing battery safety through digital twinning in electric vehicles and storage systems
- Convergence of Metaverse and digital twins: evolution, integration, and future challenges in virtual-physical systems
- Quantum computing for digital twins and the metaverse
- Artificial intelligence/machine learning with digital twin enabled metaverse
- Enhancing robotic surgery with neuromorphic computing
Authors
Chiranji Lal Chowdhary Vellore Institute of Technology, Vellore, India. Dr. Chiranji Lal Chowdhary is an Associate Professor at the School of Computer Science Engineering and Information Systems, within theVellore Institute of Technology, Vellore in India. Abhishek Ranjan Botho University, Gaborone, Botswana. Dr. Abhishek Ranjan is Deputy Vice Chancellor at Botho University, Gaborone in Botswana. Jyotir Moy Chatterjee Assistant Professor, Department of CSE, Graphic Era University, Dehradun, India.
Jyotir Moy Chatterjee is currently an Assistant Professor in Department of Computer Science and Engineering at Graphic Era (Deemed to be University), in Dehradun, India. He also serves as a Visiting Faculty member in Information Technology at Lord Buddha Education Foundation, which is affiliated with the Asia Pacific University of Technology & Innovation in Kathmandu, Nepal. His research interests focus on advancements in Machine Learning and Deep Learning.
Pawan Lingras Saint Mary's University Halifax, Nova Scotia, Canada. Dr. Pawan Lingras, is a Professor in the Department of Math and Computing Science, Saint Mary's University, Halifax, Nova Scotia, in Canada.
