Edge Intelligent Computing Systems in Different Domains

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 div...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Main Authors: Picano, Benedetta (Author), Fantacci, Romano (Author)
Autor Corporativo: SpringerLink (Online service)
Formato: Recurso Electrónico livro electrónico
Idioma:inglês
Publicado em: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edição:1st ed. 2024.
Colecção:SpringerBriefs in Computer Science,
Assuntos:
Acesso em linha:https://doi.org/10.1007/978-3-031-49472-7
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

MARC

LEADER 00000nam a22000005i 4500
001 978-3-031-49472-7
003 DE-He213
005 20260810170149.0
007 cr nn 008mamaa
008 240110s2024 sz | o |||| 0|eng d
020 |a 9783031494727  |9 978-3-031-49472-7 
024 7 |a 10.1007/978-3-031-49472-7  |2 doi 
050 4 |a Q325.5-.7 
072 7 |a UYQM  |2 bicssc 
072 7 |a MAT029000  |2 bisacsh 
072 7 |a UYQM  |2 thema 
082 0 4 |a 006.31  |2 23 
100 1 |a Picano, Benedetta.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Edge Intelligent Computing Systems in Different Domains  |h [electronic resource] /  |c by Benedetta Picano, Romano Fantacci. 
250 |a 1st ed. 2024. 
264 1 |a Cham :  |b Springer Nature Switzerland :  |b Imprint: Springer,  |c 2024. 
300 |a 1 online resource (XIV, 88 p. 41 illus.).  |b 38 illus. in color. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
341 0 |b Table of contents navigation  |2 onix 
341 0 |b Single logical reading order  |2 onix 
341 0 |b Short alternative textual descriptions  |2 onix 
341 0 |b Use of color is not sole means of conveying information  |2 onix 
341 0 |b Use of high contrast between text and background color  |2 onix 
341 0 |b Next / Previous structural navigation  |2 onix 
341 0 |b All non-decorative content supports reading without sight  |2 onix 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Computer Science,  |x 2191-5776 
505 0 |a 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. 
520 |a 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. 
532 8 |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. 
532 8 |a No reading system accessibility options actively disabled 
532 8 |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com 
588 |a Print version record. 
650 0 |a Machine learning. 
650 0 |a Wireless communication systems. 
650 0 |a Mobile communication systems. 
650 0 |a Computer networks . 
650 1 4 |a Machine Learning. 
650 2 4 |a Wireless and Mobile Communication. 
650 2 4 |a Computer Communication Networks. 
700 1 |a Fantacci, Romano.  |e author.  |0 (orcid)0000-0001-5934-3321  |1 https://orcid.org/0000-0001-5934-3321  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783031494710 
776 0 8 |i Printed edition:  |z 9783031494734 
830 0 |a SpringerBriefs in Computer Science,  |x 2191-5776 
856 4 0 |u https://doi.org/10.1007/978-3-031-49472-7 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710)