03690nam a22004695i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001400153072001700167072002300184072001600207100008000223245012400303250001800427264006900445300006400514336002600578337002600604338003600630347002400666490005100690505043700741520151901178650002202697650003602719650003402755650002502789650002202814650003902836650003702875700007902912710003402991773002603025776003603051776003603087830005103123856004603174978-3-031-49472-7DE-He21320251030110918.0cr nn 008mamaa240110s2024    sz |    s    |||| 0|eng d  a97830314947277 a10.1007/978-3-031-49472-72doi 4aQ325.5-.7 7aUYQM2bicssc 7aMAT0290002bisacsh 7aUYQM2thema1 aPicano, Benedetta.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aEdge Intelligent Computing Systems in Different Domainsh[electronic resource] /cby Benedetta Picano, Romano Fantacci.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXIV, 88 p. 41 illus., 38 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSpringerBriefs in Computer Science,x2191-57760 aPreface -- 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.  aThis 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. 0aMachine learning. 0aWireless communication systems. 0aMobile communication systems. 0aComputer networks .14aMachine Learning.24aWireless and Mobile Communication.24aComputer Communication Networks.1 aFantacci, Romano.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303149471008iPrinted edition:z9783031494734 0aSpringerBriefs in Computer Science,x2191-577640uhttps://doi.org/10.1007/978-3-031-49472-7