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A new approach for evaluating node importance in complex networks via deep learning methods.

, , , , and . Neurocomputing, (2022)

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Capacity Analysis in the Cognitive Heterogeneous Cellular Networks with Stochastic Methods., , and . ChinaCom (2), volume 210 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 258-267. Springer, (2016)CoMP Handover Probability Analysis with Different Handover Schemes in Ultra-Dense Networks., , and . WCNC, page 1-6. IEEE, (2017)Power Control for D2D Communication Using Multi-Agent Reinforcement Learning., , , and . ICCC, page 563-567. IEEE, (2018)Deep Reinforcement Learning (DRL)-Based Transcoder Selection for Blockchain-Enabled Video Streaming., , , , and . GLOBECOM Workshops, page 1-6. IEEE, (2018)The generalization error of random features regression: Precise asymptotics and double descent curve, and . (2019)cite arxiv:1908.05355Comment: We added two sections in version 3. One section provides the precise asymptotics of the training error. The other section describes a Gaussian covariate model, which gives the same asymptotic test error as the random features model.Realization of integration and working procedure on digital hospital information system., , , , , , and . Comput. Stand. Interfaces, 25 (5): 529-537 (2003)A Hybrid Network Based on Dense Connection and Weighted Feature Aggregation for Human Activity Recognition., , , , and . IEEE Access, (2020)Margin-Based Deep Learning Networks for Human Activity Recognition., , , , and . Sensors, 20 (7): 1871 (2020)Queue-aware energy minimisation through sparse beamforming in C-RAN., , , and . IET Commun., 12 (5): 559-565 (2018)Security-oriented cooperation scheme in wireless cooperative networks., , , and . IET Commun., 8 (8): 1265-1273 (2014)