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Titlebook: Machine Learning and Intelligent Communications; Third International Limin Meng,Yan Zhang Conference proceedings 2018 ICST Institute for C

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Mobility Prediction Based on POI-Clustered Datairichlet Process) mixture model to identify similarity between different users and predict users’ locations by leveraging these similar users. As is shown in the results, the methods proposed above are highly adaptive and precise when being utilized to predict users’ mobility trajectories.
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Joint D2D Cooperative Relaying and Friendly Jamming Selection for Physical Layer Securitytween different intelligent agents, and derive the mixed-strategy equilibrium (MSE) via a hierarchical learning algorithm based on Q-learning. Simulation results show that the strategic selections of D2D users and the active eavesdropper are convergent, and the proposed algorithm has a better performance than the random selection method.
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Gun Identification Using Tensorflowral Network algorithm, our system is trained to identify handguns in various orientations, shapes, and sizes, then the intelligent gun identification system will automatically interpret if the subject is carrying a gun or other objects. Our experiments show the efficiency of implemented intelligent gun identification system.
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An Improved Constrained Least Squares Localization Algorithm in NLOS Propagating EnvironmentLOS errors. Moreover, the studied method does not depend on a particular distribution of the NLOS error. Simulation results show that the positioning accuracy is significantly improved over traditional CLS algorithms, even under highly NLOS conditions.
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Conference proceedings 2018ons, MLICOM 2018, held in Hangzhou, China, in July 2018..The 66 revised full papers were carefully selected from 102 submissions. The papers are organized thematically in machine learning, intelligent positioning and navigation, intelligent multimedia processing and security, wireless mobile network
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