The Intersection of 6G, AI/Machine Learning, and Embedded Systems by Shruti Sharma (Hardback)

£120.00
Available
Product Ref. (e.g. ISBN, SKU)
9781032851969
Published:
17 Apr 2025
Format:
Hardback
Number of pages:
392 pages
Dimensions:
234x156mm
Weight:
0.000kgs
Author:
This comprehensive guide to the emerging areas and synergistic relationships among the domains of 6G, machine learning, and embedded systems offers readers a detailed analysis of their converging paths and contributions to the development of intelligent wireless systems.
This comprehensive guide to the emerging areas and synergistic relationships among the domains of 6G, machine learning, and embedded systems offers readers a detailed analysis of their converging paths and contributions to the development of intelligent wireless systems. Readers will gain a solid understanding of the principles and technologies behind 6G, machine learning, and embedded systems. They will learn how these three areas intertwine and why this intersection is pivotal for the next generation of wireless technology.The contributors to this volume present a thorough and detailed analysis of this technology, highlighting its promising features, underlying technologies, and potential applications. The book first explores various applications of machine learning algorithms in areas such as network optimization, resource allocation, interference management, and intelligent data processing and analysis. Design considerations and challenges are presented and case studies of innovative applications, such as smart cities, autonomous vehicles, healthcare, and industrial automation, are examined. The book concludes with a discussion of future trends and opportunities in this rapidly evolving field. Readers will benefit from the theoretical foundations and practical insights presented within and will be prepared to address future challenges and opportunities in these three fields.This book is a valuable resource for academic researchers and industry professionals working in the fields of wireless communication, machine learning, embedded systems, and artificial intelligence.

About the Author: Shruti Sharma is a Research Scientist at Ajou University, working on AI and wireless communication systems. She earned a PhD in electrical and computer engineering at Ajou University, Korea. She holds a master's in electronics from Pt. Ravishankar Shukla University, India, and a postgraduate diploma in computer applications from Guru Ghasidas Vishwavidyalaya, India, along with a diploma in embedded systems and design from CDAC, Kolkata, India. Additionally, she has two years of teaching experience at CMD P.G. Science College, India.Ashutosh Sharma is an Associate Professor in the Department of Physics at Amity University Jharkhand, Ranchi, India. Previously, he served as an Assistant Professor at Ajou University, South Korea. He earned a PhD at IIT Kharagpur, India. His research focuses on electrochemical deposition, lead-free soldering, AI in microelectronic packaging, additive manufacturing, high-entropy alloys, and biomaterials. He has been recognized by TMS and has been ranked in the top 2% of scientists globally by Stanford University for three consecutive years.Trinh Van Chien earned a BS in electronics and telecommunications in 2012 at Hanoi University of Science and Technology (HUST), Vietnam. In 2014, he earned an MS in electrical and computer engineering at Sungkyunkwan University, Korea, and in 2020, he earned a PhD in communication systems at Linkoping University, Sweden. He is with the School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam.

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Number of pages 392

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