LEADER 04065nam 22006255 450 001 9910800113803321 005 20240307124250.0 010 $a9783031494727 010 $a3031494725 024 7 $a10.1007/978-3-031-49472-7 035 $a(MiAaPQ)EBC31065854 035 $a(Au-PeEL)EBL31065854 035 $a(DE-He213)978-3-031-49472-7 035 $a(CKB)29575816800041 035 $a(OCoLC)1418714543 035 $a(EXLCZ)9929575816800041 100 $a20240110d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEdge Intelligent Computing Systems in Different Domains /$fby Benedetta Picano, Romano Fantacci 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (98 pages) 225 1 $aSpringerBriefs in Computer Science,$x2191-5776 311 08$aPrint version: Picano, Benedetta Edge Intelligent Computing Systems in Different Domains Cham : Springer International Publishing AG,c2024 9783031494710 327 $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. 330 $aThis book provides a comprehensive and systematic exploration of next-generation Edge Intelligence (EI) Networks. It delves deep into the critical design considerations within this context, emphasizing the necessity for functional and dependable interactions between networking strategies and the diverse application scenarios. This should help assist to encompass a wide range of environments. This book also discusses topics such as resource optimization, incentive mechanisms, channel prediction and cutting-edge technologies, which includes digital twins and advanced machine learning techniques. It underscores the importance of functional integration to facilitate meaningful collaborations between networks and systems, while operating across heterogeneous environments aiming support novel and disruptive human-oriented services and applications. Valuable insights into the stringent requirements for intelligence capabilities, communication latency and real-time response are discussed. This characterizes the new EI era, driving the creation of comprehensive cross-domain architectural ecosystems that infuse human-like intelligence into every aspect of emerging EI systems. This book primarily targets advanced-level students as well as postdoctoral researchers, who are new to this field and are searching for a comprehensive understanding of emerging EI systems. Practitioners seeking guidance in the development and implementation of EI systems in practical contexts will also benefit from this book. 410 0$aSpringerBriefs in Computer Science,$x2191-5776 606 $aMachine learning 606 $aWireless communication systems 606 $aMobile communication systems 606 $aComputer networks 606 $aMachine Learning 606 $aWireless and Mobile Communication 606 $aComputer Communication Networks 615 0$aMachine learning. 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 0$aComputer networks. 615 14$aMachine Learning. 615 24$aWireless and Mobile Communication. 615 24$aComputer Communication Networks. 676 $a006.31 700 $aPicano$b Benedetta$01587968 701 $aFantacci$b Romano$0720761 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910800113803321 996 $aEdge Intelligent Computing Systems in Different Domains$93876764 997 $aUNINA