Edge Intelligent Computing Systems in Different Domains
Picano, Benedetta.
Edge Intelligent Computing Systems in Different Domains [electronic resource] / by Benedetta Picano, Romano Fantacci. - 1st ed. 2024. - XIV, 88 p. 41 illus., 38 illus. in color. online resource. - SpringerBriefs in Computer Science, 2191-5776 . - SpringerBriefs in Computer Science, .
Preface -- Chapter. 1. Emerging Technologies for Edge Intelligent Computing Systems -- Chapter. 2. Offloading Methodologies for Air-Ground Edge Intelligent Computing Systems -- Chapter. 3. Edge Intelligent Computing enabled Federating Learning in 6G wireless systems -- Chapter. 4. Edge Intelligent Computing in aqua environments -- Chapter. 5. Application of the Digital Twin technology in Novel Edge Intelligent Computing Systems.
This book provides a comprehensive and systematic exploration of next-generation Edge Intelligence (EI) Networks. It delves deep into the critical design considerations within this context, emphasizing the necessity for functional and dependable interactions between networking strategies and the diverse application scenarios. This should help assist to encompass a wide range of environments. This book also discusses topics such as resource optimization, incentive mechanisms, channel prediction and cutting-edge technologies, which includes digital twins and advanced machine learning techniques. It underscores the importance of functional integration to facilitate meaningful collaborations between networks and systems, while operating across heterogeneous environments aiming support novel and disruptive human-oriented services and applications. Valuable insights into the stringent requirements for intelligence capabilities, communication latency and real-time response are discussed. This characterizes the new EI era, driving the creation of comprehensive cross-domain architectural ecosystems that infuse human-like intelligence into every aspect of emerging EI systems. This book primarily targets advanced-level students as well as postdoctoral researchers, who are new to this field and are searching for a comprehensive understanding of emerging EI systems. Practitioners seeking guidance in the development and implementation of EI systems in practical contexts will also benefit from this book.
9783031494727
10.1007/978-3-031-49472-7 doi
Machine learning.
Wireless communication systems.
Mobile communication systems.
Computer networks .
Machine Learning.
Wireless and Mobile Communication.
Computer Communication Networks.
Q325.5-.7
006.31
Edge Intelligent Computing Systems in Different Domains [electronic resource] / by Benedetta Picano, Romano Fantacci. - 1st ed. 2024. - XIV, 88 p. 41 illus., 38 illus. in color. online resource. - SpringerBriefs in Computer Science, 2191-5776 . - SpringerBriefs in Computer Science, .
Preface -- Chapter. 1. Emerging Technologies for Edge Intelligent Computing Systems -- Chapter. 2. Offloading Methodologies for Air-Ground Edge Intelligent Computing Systems -- Chapter. 3. Edge Intelligent Computing enabled Federating Learning in 6G wireless systems -- Chapter. 4. Edge Intelligent Computing in aqua environments -- Chapter. 5. Application of the Digital Twin technology in Novel Edge Intelligent Computing Systems.
This book provides a comprehensive and systematic exploration of next-generation Edge Intelligence (EI) Networks. It delves deep into the critical design considerations within this context, emphasizing the necessity for functional and dependable interactions between networking strategies and the diverse application scenarios. This should help assist to encompass a wide range of environments. This book also discusses topics such as resource optimization, incentive mechanisms, channel prediction and cutting-edge technologies, which includes digital twins and advanced machine learning techniques. It underscores the importance of functional integration to facilitate meaningful collaborations between networks and systems, while operating across heterogeneous environments aiming support novel and disruptive human-oriented services and applications. Valuable insights into the stringent requirements for intelligence capabilities, communication latency and real-time response are discussed. This characterizes the new EI era, driving the creation of comprehensive cross-domain architectural ecosystems that infuse human-like intelligence into every aspect of emerging EI systems. This book primarily targets advanced-level students as well as postdoctoral researchers, who are new to this field and are searching for a comprehensive understanding of emerging EI systems. Practitioners seeking guidance in the development and implementation of EI systems in practical contexts will also benefit from this book.
9783031494727
10.1007/978-3-031-49472-7 doi
Machine learning.
Wireless communication systems.
Mobile communication systems.
Computer networks .
Machine Learning.
Wireless and Mobile Communication.
Computer Communication Networks.
Q325.5-.7
006.31