1st Edition
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.
Table of Contents
1. A study on Artificial Intelligence: An Analysis of Recent Research and Future Predictions
Amrita Kumari, Ashish Saini, A. Kumari, A. Saini
2. Building an Inclusive Future- Supportive Environments for Individuals on the Autism Spectrum
Dr. Rolly Gupta, Dr. Lalit Kumar Sagar
3. Cloud Computing & Virtualization
Jaishree Jain, Ashish Dixit
4. Deep Reinforcement Learning Based Framework For Tactical Drone Deployment In Rigorous Terrains: From modelling To Real-World Implementation
Shekhar Tyagi, Abhishek Tyagi
5. Elevating Healthcare Services: The Integration of Cloud with Fog Computing
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar
6. IoT to IoE: Fundamentals, Layered Architecture, Application Areas Security Principles, Challenges and Their Remediation
Himanshi Agrawal, Dr. Neeti Bansal
7. Issues in Managing Multimedia Big Data
Dr. Shailendra Prakash, Dr. K. Rama Krishna, Dr. Ajay Kumar Gupta
8. Navigating the Landscape of AIML: Key Findings and Insights the power of Learning
Purnima Gupta, Shivani Chaudhary, Khushi Garg, Aswani kumar Singh
9. Practical Innovative Applications of IoT and IoT Networks
Dr. Jaideep Kumar, Dr. Seema Malik, Mr. Manish Kumar, Mr. Anuj Kumar,
10. Taxonomy of Botnet Structure
Dr. Priyanka C Tikekar, Prof Swati S Sherekar
11. A Comprehensive Study on Meta-heuristic Optimization Approach for Maximum Power Point Tracking In Solar Power System
Zaiba Ishrat, Kunwar Babar Ali, Taslima Ahmed
12. Blockchain in Ubiquitous Computing
Ramander Singh, Ashish Pandey, Lav Kumar Dixit
Biography
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 is an active member of ACM and IEEE.
Mr. Basudeo Singh Roohani is currently working in the department of Computer Sc & Engg. at IMS Engineering College Ghaziabad. He did a B.Tech in Computer Sc. & Engg. from Bundelkhand Institute of Engineering & Technology (BIET), Jhansi, M.Tech in Computer Sc. from Uttar Pradesh Technical University (UPTU), Lucknow and Ph.D(p) in Computer Sc. & Engg. from Dr. A.P.J. Abdul Kalam Technical University Lucknow. He is having Research interest in the field of Design and analysis of Algorithms, Machine Learning and Deep Learning. He has twelve years of administrative experience as head, of Computer Sc. & Engg. Deptt. out of twenty-two years of experience at various reputed Institutions, to monitor all operations and activities within the department. He has attended 13 FDPs, Seminars, Workshops, Conferences and Training Programs. He also presented 09 research papers in National and International Conferences. He has published 07 Patents. He has published 03 Book Chapters. He has also published 07 Research Papers in reputed journals. He has also worked as a Conference Paper Reviewer.
Dr. Nitin Sharma, an Assistant Professor in the CSE department at IMS Engineering College, has 13 years of experience in teaching and research. His research interests include Machine Learning, Deep Learning, and Data Analytics. He has guided over 6 M. Tech and 150 B. Tech students’ projects and holds 4 Indian patents. Dr. Sharmahas contributed more than 12 research papers in several International and National journals and conference proceedings of high repute. He has also attended various FDP/ STTP and Workshops on emerging technologies like Python, Power BI, and Artificial Intelligence. He has also completed 15 days of FDP on Entrepreneurship from EDII, Ahmedabad. One International Book chapter in Big Data Analytics is also in his name. He is a B. Tech in Information Technology from U.P.T.U, Lucknow and a Master in Computer Science and Engineering from Uttarakhand Technical University, Dehradun. Dr. Sharma has completed his Doctoral research in Computer Sc. And engineering from Sunrise University, Alwar (Rajasthan).
