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Spectrum Sharing and Consensus Performance of Vehicular Networks based on Deep Multi-User Reinforcement Learning., , , , , и . DASC/PiCom/CBDCom/CyberSciTech, стр. 348-354. IEEE, (2023)Pipeline Leakage Detection Using Acoustic Emission and Machine Learning Algorithms., , и . Sensors, 23 (6): 3226 (марта 2023)A Deep Learning-Based Power Control and Consensus Performance of Spectrum Sharing in the CR Network., , , , и . Wirel. Commun. Mob. Comput., (2021)Novel Islanding Detection Approach for Distributed Generation Units Based on Kalman Filter., , , , , , и . TENCON, стр. 987-992. IEEE, (2018)Block Layering Approach in TAST Codes., , и . Int. J. Commun. Netw. Syst. Sci., 3 (10): 788-792 (2010)A Bi-Level Techno-Economic Optimal Reactive Power Dispatch Considering Wind and Solar Power Integration., , , , , , и . IEEE Access, (2023)CFNCM: Collaborative filtering neighborhood-based model for predicting miRNA-disease associations., , , , , , и . Comput. Biol. Medicine, (сентября 2023)Marine Current Turbine Multifault Diagnosis Based on Optimization Resampled Modulus Feature and 1-D-CNN., , , , и . IEEE Trans. Instrum. Meas., (2023)Weighted Linear Local Tangent Space Alignment via Geometrically Inspired Weighted PCA for Fault Detection., , и . IEEE Trans. Ind. Informatics, 19 (1): 210-219 (2023)Performance analysis of LDPC Convolutional Codes., , и . ICTC, стр. 585-590. IEEE, (2013)