Metaconstructs: The Evolution of Digital Twins in the Metaverse Era. This item is unavailable.Metaconstructs: The Evolution of Digital Twins in the Metaverse Era

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.

• Provides a holistic discussion of digital twin and metaverse technologies, including AI, VR, AR, IoT, and IoMT.
• Offers insights about how DL and ML, computational intelligence, computer vision (CV), federated learning, and digital tools have numerous potential applications in the digital twin space, starting, of course, with the development of tools.
• Explains how to enable digital twin–based techniques and tools, and explores the real-world usage of the products they designed with all the benefits that bring.

Dr. Chiranji Lal Chowdhary is Professor in the School of Computer Science Engineering and Information Systems at Vellore Institute of Technology, India. He has more than 20 years of academic and research experience in artificial intelligence, machine learning, deep learning, computer vision and intelligent systems. His research spans industrial AI, Industry 4.0 technologies, smart healthcare and data-driven decision-making systems. He has published extensively in international journals and conferences and has edited several scholarly volumes. He has supervised doctoral and postgraduate researchers and contributes actively to research evaluation, curriculum development and academic leadership. His expertise in intelligent systems and digital transformation aligns closely with the themes of AI-enabled industrial ecosystems and lifecycle intelligence explored in this book.

Dr. Abhishek Ranjan is Deputy Vice Chancellor at Botho University, Gaborone in Botswana.

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.

Dr. Pawan Lingras, is a Professor in the Department of Math and Computing Science, Saint Mary's University, Halifax, Nova Scotia, in Canada.