UID:
almahu_9949930939002882
Umfang:
XXI, 520 p. 228 illus., 217 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2025.
ISBN:
9783031714641
Serie:
Lecture Notes in Computer Science, 14997
Inhalt:
The three-volume proceedings set LNCS 14997-14999 constitutes the refereed proceedings of the 18th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2024, held in Qindao, China, during June 21-23, 2024. The 98 full papers and 10 short papers included in these proceedings were carefully reviewed and selected from 301 submissions. They focus on cutting-edge ideas, research findings, and innovative solutions in the dynamic intersection of wireless technologies and artificial intelligence (AI) computing systems.
Anmerkung:
-- FEKNN: A Wi-Fi Indoor Localization Method Based on Feature Enhancement and KNN. -- Smartphone Indoor Fusion Localization with Trust Region-Based Magnetic Matching. -- Multi-agent Deep Reinforcement Learning-based UAV-enable NOMA Communication Networks Optimization. -- BufferConcede: Conceding Buffer for RoCE Traffic in TCP/RoCE Mix-Flows. -- An Effective Cooperative Jamming-based Secure Transmission Scheme for a Mobile Scenario. -- ID-Gait: Fine-grained Human Gait State Recognition using Wi-Fi Signal. -- Anti-Packet-Loss Encrypted Traffic Classification via Masked Autoencoder. -- Graph Transformer Hawkes Processes for Causal Structure Learning in Telecom Networks. -- Design of Maritime End-to-End Autoencoder Communication System Based on Compressed Channel Feedback. -- ZigRa: Physical-layer Cross-Technology Communication from ZigBee to LoRa. -- Wireless Portable Dry Electrode Multi-channel sEMG Acquisition System. -- A Double Layer Consensus Optimization Mechanism in DAG-based Blockchain for Carbon Trading. -- Probabilistic Offloading Algorithm for Opportunistic Networks Integrating Node Influence Prediction. -- Secret Sharing Based Key Agreement Protocol for Body Area Networks. -- Active Detection Based NTP Device Attribute Detection. -- Cyber Sentinel: Fortifying Voice Assistant Security with Biometric Template Integration in Neural Networks. -- Traceable Health Data Sharing Based on Blockchain. -- KD-Eye: Lightweight Pupil Segmentation for Eye Tracking on VR Headsets via Knowledge Distillation. -- Meta-RFF: Few-Shot Open-Set Incremental Learning for RF Fingerprint Recognition via Multi-phase Meta Task Adaptation. -- Left Ventricular Hypertrophy Detection Algorithm Using Feature Selection and CNN-LSTM. -- Application with Digital Currencies Trading Using Machine Learning. -- Mobile Crowdsourcing Task Assignment Algorithm Based on ConvNeXt and GRU. -- Inferring the Number of Clusters for Radar Emitters via Threshold Segmentation and Information Fusion. -- Enhancing Student Classroom Behavior Detection Using Improved SlowFast. -- LV-auth: Lip Motion Fusion for Voiceprint Authentication. -- Generative Model-Based Edge-Assisted Object Detection in Bandwidth-Constrained Network. -- Enhancing Generalized Zero-shot Learning with Dynamic Selective Knowledge Distillation. -- BehaMiner: System Behavior Mining for Audit Log based on Graph Learning. -- REHG: A Recommender Engine Based on Heterogeneous Graph. -- Step-by-Step and Tailored Teaching: Dynamic Knowledge Distillation. -- TBA-GNN: A Traffic Behavior Analysis Model with Graph Neural Networks for Malicious Traffic Detection. -- Enhancing Adversarial Robustness in Automatic Modulation Recognition with Dynamical Systems-Inspired Deep Learning Frameworks. -- E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks. -- Sophon IDS: Mitigating the Effectiveness of GAN-based Adversarial Attacks via Tailored Misinformation. -- An Early Warning Method for Fracturing Accidents Using Joint CNN and LSTM Modeling. -- Defense Strategy in Federated Learning: Unveiling Stealthy Threats and the Similarity Filter Solution. -- FedScale: A Federated Unlearning Method Mimicking Human Forgetting Processes. -- The Client-level GAN-based Data Reconstruction Attack and Defense in Clustered Federated Learning. -- Byzantine-Robust Federated Learning Based on Blockchain. -- FedDue: Optimizing Personalized Federated Learning through Dynamic Update Classifier. -- FedDCT: A Dynamic Cross-Tier Federated Learning Framework in Wireless Networks.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031714634
Weitere Ausg.:
Printed edition: ISBN 9783031714658
Sprache:
Englisch
DOI:
10.1007/978-3-031-71464-1
URL:
https://doi.org/10.1007/978-3-031-71464-1
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