Titlebook: Game Theory for Networks; 11th International E Fang Fang,Fu Shu Conference proceedings 2022 ICST Institute for Computer Sciences, Social In

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Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering380503.jpg

策略

Block-Chain Abnormal Transaction Detection Method Based on Dynamic Graph Representationramework. Firstly, the encoder uses the graph convolutional neural networks to gather neighborhood information to obtain low-dimensional feature vectors. Then, considering the dynamics of graphs, the GRU network is used to evolve the graph model itself over time. Finally, the decoder reconstructs th

被告

laparoscopy

MU-PDR: A Method of Fingerprint Passive Positioning for WiFi6 Based on MU-RTS/CTSngerprint acquisition and positioning methods are proposed to optimize the performance of PDR-like fingerprint in multi-target scenes. Finally, simulation result shows that MU-PDR has higher efficiency than traditional PDR in multi-target scenario, which is illustrated by the significant reduction o

grounded

A Sophisticated Anti-jamming Strategy for a Joint Radar and Communication Systemstrategy for the jammer. We model this problem by a Bayesian game for a scenario where the system is at a disadvantage to access information about environmental parameters relative to the jammer. The established uniqueness of the equilibrium reflects stability of the designed anti-jamming strategy,

stressors

A Service Protection Mechanism of Deterministic Networking Based on Segment Routingthe proposed SR-PREOF effectively improves the packet reception rate and reduces the end-to-end worst-case latency bound while achieving the comparable path reliability performance compared with the traditional PREOF. The packet reception rate of the SR-PREOF increases by 5.6% and the end-to-end wor

遗产

Cloud-Edge Collaboration Based Power IoT Scene Perception Mechanisme cloud synthesis. Focusing on the construction of high-precision neural network recognition model of high-frequency dynamic examples, using the idea of transfer learning, a neural network model training framework based on cloud-edge collaboration is designed. Simulation results show that the scene

tympanometry

Design and Implementation of Targeted Poverty Alleviation System Based on Blockchain Networkiation data in each link is true, reliable, provable, traceable and auditable. At the same time, it provides solid underlying credible data support for the “last mile” problem faced by village-to-household in targeted poverty alleviation work.

occult