Web 3.0
The Next Generation's Internet and Understanding the Concept of the Metaverse

The book underscores AI's transformative impact on reshaping physical, digital, and biological boundaries, converging with technologies like robotics, IoT, 3D printing, genetic engineering, and quantum computing?termed Web 3.0 Industrial Revolution. This global revolution integrates advanced production techniques beyond connected machines, extending into gene sequencing, nanotechnology, renewable energies, and quantum computing. The book's main goals include providing a collaborative platform for academia and industry researchers to share contributions and shape the future through knowledge exchange. Recognizing recent progress driven by increased computing power, it highlights the positive impact of digital technology?AI, IoT, AR/VR, Additive Manufacturing, CPS, cloud computing, and robotics?on industrial efficiency and quality.

• Revolutionary AI Fusion: AI revolutionizes by blending physical, digital, and biological boundaries through cutting-edge technologies like robotics, IoT, 3D printing, genetic engineering, and quantum computing.
• Global Manufacturing Cooperation: AI creates a collaborative landscape where virtual and physical systems flexibly cooperate on a global scale.
• AI's Diverse Impact: Beyond smart machines, AI drives breakthroughs in gene sequencing, nanotechnology, renewable energies, and quantum computing, distinguishing it from prior industrial revolutions.
• Progress and Digital Interface: Recent progress, powered by computing advancements, boosts industrial efficiency. The digital technology interface (AI, IoT, AR/VR, 3D Printing, CPS, CC, Robotics) significantly impacts industrial performance.

In conclusion, AI spearheads a transformative revolution, redefining the boundaries of the physical, digital, and biological realms. The fusion of AI with Web 3.0 Industrial Revolution, integrating advanced production techniques and global manufacturing cooperation, surpassing past industrial shifts. The book aims to be a collaborative platform for academia and industry researchers, fostering knowledge exchange to shape the future. In AI-driven manufacturing within Web 3.0, a paradigm shift envisions maximum output with minimal resource use. Coupled with 'Digital Reality,' it transforms business practices, consumer behaviour, and employment dynamics, redistributing wealth toward innovation and technology.

1. A study on Artificial Intelligence: An Analysis of Recent Research and Future Predictions. 2. Building an Inclusive Future- Supportive Environments for Individuals on the Autism Spectrum. 3. Cloud Computing & Virtualization. 4. Deep Reinforcement Learning Based Framework For Tactical Drone Deployment In Rigorous Terrains: From modelling To Real-World Implementation. 5. Elevating Healthcare Services: The Integration of Cloud with Fog Computing. 6. IoT to IoE: Fundamentals, Layered Architecture, Application Areas Security Principles, Challenges and Their Remediation. 7. Issues in Managing Multimedia Big Data. 8. Navigating the Landscape of AIML: Key Findings and Insights the power of Learning. 9. Practical Innovative Applications of IoT and IoT Networks. 10. Taxonomy of Botnet Structure. 11. A Comprehensive Study on Meta-heuristic Optimization Approach for Maximum Power Point Tracking In Solar Power System. 12. Blockchain in Ubiquitous Computing.

Dr. Prabhat Kumar Srivastava is currently working in IMS Engineering College as a Professor in the department of CSE. He is having 23 year of teaching and research experience. He has completed his Ph.D. from SHUATS Allahabad, M.Tech from UPTU Lucknow. His area of research is Soft Computing, Machine Learning and Fuzzy Theory. He has given valuable inputs as a guide to 25+ M.Tech students and 150+ B.Tech students in his career so far. He has published 15 Indian patents and 2 International Patents with Grants. He has published 17 Conferences Papers and 51 Journal Papers in which 3 are in SCI journal and some are in reputed journals and IEEE conferences. Worked as a Reviewer/Editorial Board Member for several reputed international journals. He also served as a Speaker, Session Chair, or Co-chair at various national and international conferences. He earned numerous international certifications such as Data Analytics, Machine Learning, and Block Chain. Currently associated with Artificial Intelligence Foundation as a Technical Advisor of Student Chapter. He is an active member of ACM, IEEE, and CSI society.

Mr. Prateek Singhal is an Assistant Professor in the Department of Computer Engineering & Application at GLA University, Mathura, U.P, India. He is pursuing a Ph.D. degree in Medical Imaging from the Maharishi University of Information Technology, Lucknow, India. He has more than four years of experience in research and teaching. He has published several research articles in SCI/SCIE/Scopus journals and conferences of high repute. He has also authored a book on Cloud Computing. He has various National and international patents and some are granted. He holds contributions in IEEE, Elsevier, etc. reputed journals. He is in the team of the research advisory members in his present institute. His current areas of interest include Image Processing, Medical Imaging, Human Computation Interface, Neuro-Computing, Internet of Things. He