Networking Systems of AI

5th International Conference on Networking Systems of AI, INSAI 2025, Shenzhen, China, November 15-17, 2025, Proceedings
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Inhaltsangabe

.- Deep learning and AI method.
.- TPS: Trust-Aware Pruning for Byzantine Robustness Federated Learning in Real-Time Edge Systems.
.- Adaptive Illumination Recovery for Backlit Images: Leveraging U-Retinex-Net and Iterative Prompt Learning.
.- Hierarchical Adaptive Transmission for Point Cloud Video Streaming based on Rein-forcement Learning.    
.- DFST: Dual-Stream Frequency-Spatial Transformer for Robust Deepfake Detection.
.- Split Learning with MobileViT: A Performance Evaluation of Communication and Inference.
.- Unleashing the Potential of Transformers: An Efficient Inference Framework with Split Learning.
.- Communication and Edge Computing.
.- CSI-Free Holographic Beamforming Enabled by Recordable and Reconfigurable Metasurface.    
.- COSMOS: A Distributed Multi-Granularity Recognition Framework for Earth Obser-vation Applications in Satellite Edge Computing Networks.
.- Bayesian Near-Field Multiuser Tracking via Non-Stationarity Reconfigurable Intelli-gent Surface.
.- DHRA: DQN based Deterministic Heterogeneous Resource Allocation for Multi-User Holographic Conferencing.
.- A Docker Container-based Dynamic Allocation System for Computational Re-sources.
.- CmpV2X: Enabling Communication-efficient and Robust Cooperative Perception for Internet-of-Vehicles.
.- EATSA: An MPTCP Scheduling Algorithm Based on Expected Arrival Time and Its Application in Bandwidth Compensation.
.- Supporting Dependent Task at Edge: A Computation-communication-cache Inte-grated Service Architecture.
.- Behavior Modeling and Social Computing.
.- OEL-AD: An Online Evolutive Learning Framework for Cross-Region Adaptive Au-tonomous Driving.
.- An Online Evolutive Framework for Cross-Subject EEG Emotion Recognition.
.- Intelligent Prediction Model for Key Group Propagation Based on Community Parti-tion and Multiple Influences.
.- Identify Neural areas for Bilingual by interpreting EEG-based deep learning models.
.- Virtual Reality and Intelligent Application.
.- Performance Analysis and Modeling of Monitoring Systems for Sustainable Agricul-ture.
.- Design and Research of Multiuser and Multimodal Virtual Fitness Equipment Based on VR.

Produktdetails
  • Erscheinungsdatum: 27.04.2026
  • Autor/Autorin: Zhiyun Lin
  • Reihe: Springer Nature Proceedings Computer Science
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 30 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 280 Seiten
  • ISBN: 9789819592999
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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