Web 3.0
CRC Press (Verlag)
978-1-032-60987-4 (ISBN)
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.
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 Department of Computer Science and Engineering, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, Uttar Pradesh, 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).
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.
| Erscheinungsdatum | 10.07.2024 |
|---|---|
| Zusatzinfo | 10 Tables, black and white; 62 Line drawings, black and white; 4 Halftones, black and white; 66 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 467 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Recht / Steuern ► Privatrecht / Bürgerliches Recht ► IT-Recht | |
| Wirtschaft ► Volkswirtschaftslehre | |
| ISBN-10 | 1-032-60987-7 / 1032609877 |
| ISBN-13 | 978-1-032-60987-4 / 9781032609874 |
| Zustand | Neuware |
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