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Autore: | Feng Jun |
Titolo: | Edge Computing – EDGE 2023 [[electronic resource] ] : 7th International Conference, Held as Part of the Services Conference Federation, SCF 2023 Shenzhen, China, December 17-18, 2023, Proceedings / / edited by Jun Feng, Frank Jiang, Min Luo, Liang-Jie Zhang |
Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Edizione: | 1st ed. 2024. |
Descrizione fisica: | 1 online resource (104 pages) |
Disciplina: | 004.6 |
Soggetto topico: | Computer networks |
Computer engineering | |
Software engineering | |
Computer Communication Networks | |
Computer Engineering and Networks | |
Software Engineering | |
Altri autori: | JiangFrank LuoMin ZhangLiang-Jie |
Nota di contenuto: | Research and Application of Low Voltage Distributed Power Supply Control System -- Optimized Edge-cCCN Based Model for the Detection of DDoS Attack in IoT Environment -- RuCIL: Enabling Privacy-Enhanced Edge Computing for Federated Learning -- Designing Blended Learning Activities in the Era of Artificial Intelligence -- Data Standard Construction -- Construction and Application of Enterprise Data Assets based on Data Label System -- Secure and Fast Query Approach for High-precision Multi-dimensional Satellite Remote Sensing Data -- Data Operation and Management Practices in Ping An Group. . |
Sommario/riassunto: | This book constitutes the refereed proceedings of the 7th International Conference on Edge Computing, EDGE 2023, held in Shenzhen, China, during December 17–18, 2023. The 8 full papers in this book were carefully reviewed and selected from 14 submissions. They were organized in topical sections as follows: Practice of Edge Computing, identify emerging research topics, and define the future of Edge Computing. |
Titolo autorizzato: | Edge Computing – EDGE 2023 |
ISBN: | 3-031-51826-8 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910805581703321 |
Lo trovi qui: | Univ. Federico II |
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