Communications and Networking 18th EAI International Conference, ChinaCom 2023, Sanya, China, November 18–19, 2023, Proceedings /

This book constitutes the refereed proceedings of the 18th EAI International Conference on Principles and Practice of Multi-Agent Systems, ChinaCom 2023, held in Sanya, China, in November 2023. The 34 full papers presented were carefully reviewed and selected from 88 submissions. The conference cove...

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Збережено в:
Бібліографічні деталі
Співавтор: SpringerLink (Online service)
Інші автори: Gao, Feifei (Редактор), Wu, Jun (Редактор), Li, Yun (Редактор), Gao, Honghao (Редактор), Wang, Shangguang (Редактор)
Формат: Електронний ресурс eКнига
Мова:Англійська
Опубліковано: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Редагування:1st ed. 2024.
Серія:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 590
Предмети:
Онлайн доступ:https://doi.org/10.1007/978-3-031-67162-3
Теги: Додати тег
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Зміст:
  • -- Advanced Networking and Optimization Strategies.
  • Research on Random Access Control Strategy and Optimization Algorithm of Multi-type Terminals Based on Deep Reinforcement Learning.
  • A Novel Approach on Semantic Performance Oriented Radio Resource Allocation.
  • A Two-Stage Heuristic SFC Deployment Approach in Software Defined Satellite Networks.
  • Blockchain-based Federated Learning with Malicious Attacks in Fog Computing Networks.
  • Target Detection in ISAC System Equipped with IRS: A Joint Active and Passive Beamforming Approach.
  • Architecture-Aware Optimization Strategies for Instruction Selection in DSP Compilers.
  • Signal Processing and Communication Optimization.
  • A Knowledge Graph for UAV Mission Planning Systems.
  • Dynamic Resource Allocation for Network Slicing in LEO Satellite Networks.
  • Scalable Blockchain-Based Access Control Algorithm for Large-Scale IoT Networks with Byzantine Nodes.
  • Anti-attack Trust Evaluation Algorithm Based on Bayesian Inference in VANET.
  • A Dummy Query-based User Privacy Protection Scheme in Named Data Networking.
  • Analytic Hierarchy Process Based Cell Reselection for Inactive Users in LEO Satellite Networks.
  • Resource Allocation and MEAR Maximization for RIS-Aided eMBBffiURLLC Traffic Multiplexing.
  • Deep Learning Applications and Optimization.
  • Enhancing Network Intrusion Detection with Deep Oversampling and Convolutional Autoencoder for Imbalanced Dataset.
  • Analyzing Average Age of Information in CRDSA Protocol with Access-Banned Policy.
  • VEC system for vehicle-to-vehicle communication Task offloading strategy research.
  • Research on Synchronization Technology of Dynamic Environment Signals in the Laser Measurement and Control System.
  • A Generic Solution for IoT Ontology Model Based on OCF Standard.
  • Joint eMBB-URLLC Resource Allocation Based on Reliability Requirements of Users.
  • Achieving mURLLC under Nakagami-m Fading in the CF mMIMO System.
  • Scheduling and Transmission Optimization.
  • A Novel Codebook Construction and Blind Detection Method for Grant-Free mMTCs.
  • Dynamic Resource Allocation for Multi-Beam Satellite Communication Systems.
  • Audio-Visual Sound Event Localization and Detection based on CRNN using Depth-wise Separable Convolution.
  • Efficient and Adaptive P3FA Forwarding using Popularity-based Egress Clustering.
  • A Unicast Packet Forwarding Accelerator Design Based on the RNS Algorithm.
  • A Neural Network Assisted FuLMS Algorithm for Active Noise Control System.
  • Cryptographic fingerprinting for network devices based on triplet network and fuzzy extractors.
  • Edge Computing and Artificial Intelligence Applications.
  • Enabling mURLLC Under kappa-mu Shadowed Fading by Cell-Free mMIMO.
  • Routing planning for video transmission in Cloud Content Delivery Networks based on Q-learning.
  • A Heuristic Inter-Satellite Fault Tolerant Routing Mechanism Based on A-Star Algorithm.
  • Multi-Scale and Coordinate Attention Residual Network for Efficient Keyword Spotting.
  • An Adaptive Unloading Algorithm of Computing Tasks Based on Edge Cloud Collaboration Scenario for Internet of Things.
  • GNSS-based Scene Recognition by Means of Machine Learning.
  • Green Task Offloading with Integration of Communication and Computation for LEO Satellite Computing Networks.