| 書目名稱 | Edge Intelligent Computing Systems in Different Domains |
| 編輯 | Benedetta Picano,Romano Fantacci |
| 視頻video | http://file.papertrans.cn/303/302241/302241.mp4 |
| 叢書名稱 | SpringerBriefs in Computer Science |
| 圖書封面 |  |
| 描述 | .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 prim |
| 出版日期 | Book 2024 |
| 關(guān)鍵詞 | Six-generation Networks; Edge computing; Machine Learning; Resource allocation; Offloading Techniques; Op |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-49472-7 |
| isbn_softcover | 978-3-031-49471-0 |
| isbn_ebook | 978-3-031-49472-7Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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