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| Autore: |
Lin Yun
|
| Titolo: |
Mobile Multimedia Communications : 17th International Conference, MobiMedia 2024, Hangzhou, China, September 27–29, 2024, Revised Selected Papers / / edited by Yun Lin, Qi Xuan, Wei Wang
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Edizione: | 1st ed. 2026. |
| Descrizione fisica: | 1 online resource (162 pages) |
| Disciplina: | 005.3 |
| Soggetto topico: | Application software |
| Computer networks | |
| Social sciences - Data processing | |
| Artificial intelligence | |
| Computer and Information Systems Applications | |
| Computer Communication Networks | |
| Computer Application in Social and Behavioral Sciences | |
| Artificial Intelligence | |
| Altri autori: |
XuanQi
WangWei
|
| Nota di contenuto: | -- A New Feature Extraction Algorithm for Skeleton-Based Human Action Recognition. -- WSNs deployment based on improved adaptive multi-objective evolutionary algorithm. -- A Hop-by-Hop Region-Directed Vector Forwarding Routing Protocol. -- Application of Dimensionality Reduction Method in Communication Speech Interference Assessment. -- A Channel Re-Growth Network Pruning Strategy Based on Deep Deterministic Policy Gradient. -- Unsupervised Domain Adaptation Method Based on Independence Criterion for Specific Emitter Identification. -- DGEGAN-Openmax: Dynamic Group Equivariant GAN-Openmax for Specific Emitter Open Set Identification. -- Worker attribute aware delay sensitive task assignment towards Artificial Intelligence of Things. |
| Sommario/riassunto: | This proceedings constitutes the revised selected papers of the 17th International Conference on Mobile Multimedia Communications, MOBIMEDIA 2024, held in Hangzhou, China, during September 27–29, 2024. The 8 full papers were included in this book were carefully reviewed and selected from 120 submissions. They focus on 5G communication technologies, multimedia services and applications, AI Inspired Future Technologies. |
| Titolo autorizzato: | Mobile Multimedia Communications ![]() |
| ISBN: | 3-031-99844-8 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911047828303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |