Wireless Artificial Intelligent Computing Systems and Applications 19th International Conference, WASA 2025, Tokyo, Japan, June 24–26, 2025, Proceedings, Part II /

The 3-volume set LNCS 15686 - 15688 constitutes the proceedings of the 19th International Conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2025, which took place in Tokyo, Japan, during June 24-26, 2025. The 70 full papers and 34 short papers included in the pro...

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Korporativní autor: SpringerLink (Online service)
Další autoři: Cai, Zhipeng (Editor), Zhu, Yongxin (Editor), Wang, Yonghao (Editor), Qiu, Meikang (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Vydání:1st ed. 2025.
Edice:Lecture Notes in Computer Science, 15687
Témata:
On-line přístup:https://doi.org/10.1007/978-981-96-8728-2
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Obsah:
  • -- GAT-Enhanced DRL Decision Framework for Joint Routing and Scheduling under Vehicular Time-Sensitive Networking.
  • CSI-Cro A Cross-Domain Sign Language Recognition System Based on Dual-Attention Feature Decoupled Network.
  • Latency-Optimal and Memory-Aware Model Partitioning for Cooperative Inference at the Edge.
  • A Sub-Domain Index System for Network Security Situation Assessment.
  • Integrating Pretrained Models with Graph Neural Networks for Smart Contract Interpretability.
  • A Simple Heuristic Finding Connectivity Bottleneck in Networks with Shared Risk Resource Groups.
  • Improving the Freshness of Digital Twins in Edge Computing.
  • Joint Offloading and Resource Allocation Optimization based on Multi-coupled Directed Acyclic Graphs for IIoT.
  • SeRed: A Selective Reduction Method for Efficient Network Flow Storage.
  • CAG: A Constraint-Driven Adversarial Traffic Generation Scheme Based on Feature Correlations.
  • A Supervisor-Oriented Privacy-Preserving Fair Exchange Scheme for V2G.
  • MACROSS: End-to-End Network Attack Detection Model for EV Charging Station Based on Temporal-Frequency Feature Fusion.
  • Game Theory-Based Secure Deduplication Method.
  • A Cuckoo Filter-based Anomaly Detection and Localization Mechanism for SDN-based Multidomain IoT.
  • Enhancing Federated Learning in IoT Through Dynamic Spectral Clustering.
  • Differentially Private Vertical Federated Learning with Dual-Sparsification.
  • Bandwidth Prediction within Playback-time of Buffer Duration based on Frame-level Stable Segment for Live Streaming.
  • MissingClip: An Industrial Anomaly Detection Method under Modality Missing.
  • Multi-Preference Sequence Recommendation Transformer.
  • Exploring Heterogeneity in Federated Learning.
  • Diverse Delay-Sensitive Task Offloading and Resource Allocation for IIoT: An SoI Enhanced Approach.
  • DEFA: A Prairie Rat-hole Target Detection Algorithm Integrating Depth Estimation Based on MiDas.
  • PIS-EnsemNet: A novel method for predicting the number of devices in hotspot sharing networks based on passive measurement.
  • Joint Hierarchical Feature Fusion and Progressive Learning for Topology Robustness Prediction.
  • A SCA-Based Method for RIS Assisted Over-the-Air Computation.
  • MPAM: Dual-Transformer for Millimeter-Wave Sensing Based Multi-person Activity Monitoring System.
  • Dynamic Graph-based Semi-Supervised Anomaly Detection for In-Vehicle CAN Bus Network.
  • A Model of Multi-order Sampling Neighbor Aggregation for Traffic Flow Prediction.
  • Physics-Informed Transformer for Efficient Fluid Dynamics Predictions.
  • ICSPFuzzer: An Efficient Fuzzing Technique for ICS Protocols.
  • MRT-DETR: A New Real-Time Object Detection Method.
  • MASS: Empowering Wi-Fi Human Sensing with Metasurface-Assisted Sample Synthesis.
  • DDC Sketch: A Dynamically Adaptive Framework for Network Traffic Measurement.
  • Timely Watchers: Cost-Effective Schedule for Urban Sensor Patrols.
  • vGPU Performance Testing Framework for Large Model Inference.