000 | 04028nam a22005535i 4500 | ||
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001 | 978-3-031-49472-7 | ||
003 | DE-He213 | ||
005 | 20240730170927.0 | ||
007 | cr nn 008mamaa | ||
008 | 240110s2024 sz | s |||| 0|eng d | ||
020 |
_a9783031494727 _9978-3-031-49472-7 |
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024 | 7 |
_a10.1007/978-3-031-49472-7 _2doi |
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050 | 4 | _aQ325.5-.7 | |
072 | 7 |
_aUYQM _2bicssc |
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_aMAT029000 _2bisacsh |
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_aUYQM _2thema |
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_a006.31 _223 |
100 | 1 |
_aPicano, Benedetta. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _996308 |
|
245 | 1 | 0 |
_aEdge Intelligent Computing Systems in Different Domains _h[electronic resource] / _cby Benedetta Picano, Romano Fantacci. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
|
300 |
_aXIV, 88 p. 41 illus., 38 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Computer Science, _x2191-5776 |
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505 | 0 | _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. | |
520 | _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. | ||
650 | 0 |
_aMachine learning. _91831 |
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650 | 0 |
_aWireless communication systems. _93474 |
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650 | 0 |
_aMobile communication systems. _94051 |
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650 | 0 |
_aComputer networks . _931572 |
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650 | 1 | 4 |
_aMachine Learning. _91831 |
650 | 2 | 4 |
_aWireless and Mobile Communication. _996311 |
650 | 2 | 4 |
_aComputer Communication Networks. _996312 |
700 | 1 |
_aFantacci, Romano. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _996314 |
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710 | 2 |
_aSpringerLink (Online service) _996316 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031494710 |
776 | 0 | 8 |
_iPrinted edition: _z9783031494734 |
830 | 0 |
_aSpringerBriefs in Computer Science, _x2191-5776 _996318 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-49472-7 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cEBK | ||
999 |
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