In the digital landscape, the Metaverse emerges as a frontier of boundless possibilities. Yet, its potential remains largely untapped. The pressing challenge lies in harnessing the power of machine learning to navigate this uncharted territory, where virtual reality, augmented reality, and immersive technologies converge to redefine human interaction and experience.

Impact and Potential of Machine Learning in the Metaverse offers a comprehensive examination of how machine learning techniques can shape the future of the Metaverse. This advanced work addresses key domains such as healthcare, education, gaming, and beyond. By delving into topics like digital twins in healthcare and blockchain-enabled security, the book not only sheds light on advancements but also confronts challenges head-on, inspiring scholars to explore new research directions and interdisciplinary collaborations. Through real-world case studies and practical applications, readers gain actionable insights into leveraging machine learning for transformative impact in the Metaverse.

This book serves as a catalyst for innovation and progress in academia and industry alike. As researchers, academics, and practitioners grapple with the complexities of the digital frontier, this book offers a roadmap for navigating uncharted territory, fostering a deeper understanding of the convergence between machine learning and the Metaverse. With its forward-thinking approach and actionable solutions, this publication equips scholars with the knowledge and tools needed to shape the future of human-machine interaction and immersive experiences in the Metaverse.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Augmented Reality
Blockchain-Enabled Security
Digital Frontier
Digital Landscape
Digital Twins in Healthcare
Human-Machine Interaction
Immersive Experiences
Interdisciplinary Collaborations
Machine Learning Techniques
Metaverse Exploration
Potential of Machine Learning
Transformative Impact
Virtual Reality

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Editor/Author Biographies

Shilpa Mehta has completed her PhD degree from Auckland University of Technology, New Zealand. She has five years of teaching experience from different reputed colleges and universities of India. Currently, she is working as a Teaching Assistant at Auckland University of Technology (AUT), Auckland, New Zealand. She was awarded Summer Doctoral Research Scholarship for her PhD research. She has worked on various interdisciplinary research projects and her research interests include Radio Frequency Integrated Circuits, RF front ends, Optimization, Internet of Things, Wireless Communication, Artificial Intelligence, Healthcare, Radars, and Software-defined Radios, Smart Cities. As an editor, she has edited four books with IGI Global and one with Nova Science Publishers. She is also working on different edited books to be published by IGI Global, Apple Academic Press, Scrivener-Wiley, Cambridge, and Springer Nature, respectively.

Shashi Kant Gupta , Post-Doctoral Fellow and Researcher, Computer Science and Engineering, Eudoxia Research University, USA in collaboration with Eudoxia Research Centre, India. ORCID: 0000-0001-6587-5607. He has completed his Ph.D. in CSE from Integral University, Lucknow, UP, India, & Worked as Assistant Professor in the Department of Computer Science and Engineering, PSIT, Kanpur, U.P., India, Worked as Associate Professor, School of Computer Applications, BBD University, Lucknow, UP, India, Worked as Assistant Professor, Department of Computer Science and Engineering, Ambalika Institute of Management and Technology, Lucknow, UP, India. & Also worked as Senior Lecturer, Department of IT, MCSCET, Lucknow, UP, India. He is currently working as Founder and CEO of CREP PVT. LTD., Lucknow, UP, India. He is a member of Spectrum IEEE & Potentials Magazine IEEE since 2019 and many more international organizations for research activities. He is an Editor-in-chief of International Journal of Data Informatics and Intelligent computing (IJDIIC). IJDIIC is an international open access, scholarly peer-reviewed journal publishing high quality articles in all areas of data informatics and intelligent computing, especially current research, new concepts, innovative methods, and approaches for early detection and reporting new methods on basic and advanced aspects of data informatics and intelligent computing. He has published many research papers in reputed international journals with SCOPUS and SCI indexed journals and published many papers in National and International conferences and as well as in Seminars. He has organized various Faculty Development Programs, Seminars, Workshops, and Short-Term Courses at University level. His main research work focuses on performance enhancement through Cloud computing, Big Data Analytics, IoT and Computational Intelligence-based Education. He is currently working as a reviewer in various international journals like BJIT and many more. He is currently editor in many CRC and Taylor and Francis group Publication Books like, Book Title: IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques in Developing Smart Cities; Book Title: AI-aided IoT Technologies and Applications in the Smart Business and Production; Book Title: Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches; Book Title: Smart Cities IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques; Book Title: AI-Centric Modeling and Analytics Concepts, Technologies, and Applications. He has published many Indian patents in the field of information technology, computer science and management. One Indian patent is under grant approval. He has many Germany patents with grant, He has more than 10 years of teaching experience and 2 years of Industrial Experience and more than 2.5 years as CEO and Founder of a firm.

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