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Convergence of Cloud with AI for Big Data Analytics
Foundations and Innovation
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Convergence of Cloud with AI for Big Data Analytics
$42999
Unit price
/
Unavailable
Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
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Description
Convergence of Cloud with AI for Big Data Analytics
This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services.
The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications, and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices.
Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications. It provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework.
Audience
Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals.
Series: Advances in Learning Analytics for Intelligent Cloud-IoT Systems
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Convergence of Cloud with AI for Big Data Analytics
Convergence of Cloud with AI for Big Data Analytics This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as...Hardback$42999Unit price /UnavailableAvailableShips in 3-4 weeks -
The Internet of Medical Things (IoMT)
The Internet of Medical Things (IoMT) Providing an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records. With their ability to collect, analyse and transmit health data, IoMT tools are rapidly changing healthcare delivery. For...Hardback$46399Unit price /UnavailableAvailableShips in 3-4 weeks
Book Details
INFORMATION
ISBN: 9781119904885
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 28 February 2023
Country: United States
Imprint: Wiley-Scrivener
Contributors:
- Edited by Danda B. Rawat
- Edited by Lalit K. Awasthi
- Edited by Valentina Emilia Balas
- Edited by Mohit Kumar
- Edited by Jitendra Kumar Samriya
Audience: Professional and scholarly
DIMENSIONS
Weight: 848g
Pages: 448
About the Author
Danda B Rawat, PhD, is a Full Professor in the Department of Electrical Engineering & Computer Science (EECS), Founder and Director of the Howard University Data Science and Cybersecurity Center, Director of DoD Center of Excellence in Artificial Intelligence & Machine Learning, Director of Cyber-security and Wireless Networking Innovations Research Lab, Graduate Program Director of Howard CS Graduate Programs, and Director of Graduate Cybersecurity Certificate Program at Howard University, Washington, DC, USA. Dr. Rawat has published more than 250 scientific/technical articles and 11 books.
Lalit K Awasthi, PhD, is the Director of Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India). He received his PhD degree from the Indian Institute of Technology Roorkee in computer science and engineering. He has published more than 150 research papers in various journals and conferences of international repute and guided many PhDs in these areas.
Valentina E Ballas, PhD, is a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. Dr. Ballas is the author of more than 280 research papers in refereed journals and international conferences. She is the Editor-in-Chief of International Journal of Advanced Intelligence Paradigms and International Journal of Computational Systems Engineering.
Mohit Kumar, PhD, is an assistant professor in the Department of Information Technology at Dr. B R Ambedkar National Institute of Technology, Jalandhar, India. He received his PhD degree from the Indian Institute of Technology Roorkee in the field of cloud computing in 2018. His research topics cover the areas of cloud computing, fog computing, edge computing, Internet of Things, soft computing, and blockchain. He has published more than 25 research articles in international journals and conferences.
Jitendra Kumar Samriya, PhD, has a faculty position in the Department of Information Technology, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar. His research interest is cloud computing, artificial intelligence, and multi-objective evolutionary optimization techniques. He has published 15 research articles in international journals and has published five Indian and international patents.
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