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[3] Joint Beamforming and Jamming Optimization for Secure Transmission in MISO-NOMA Networks,IEEE TRANSACTIONS ON COMMUNICATIONS,2019,3:2294-2305
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[4] A Novel Dynamic Spectrum Access Framework Based on Reinforcement Learning for Cognitive Radio Sensor Networks,SENSORS,2016,10
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[5] Complex-Valued Networks for Automatic Modulation Classification,IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2020,9:10085-10089
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[6] Dynamic threshold-setting for RF-powered cognitive radio networks in non-Gaussian noise,PHYSICAL COMMUNICATION,2018,:99-105
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[7] A Novel Multi-Band Polarization Insensitive Frequency Selective Surface Based on Centrosymmetric L-Shaped Metal Strips,APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL,2015,3:294-301
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[8] Key Technologies and Solutions of Remote Distributed Virtual Laboratory for E-Learning and E-Education,MOBILE NETWORKS & APPLICATIONS,2019,1:18-24
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[9] Sparse Feature Learning for Correlation Filter Tracking Toward 5G-Enabled Tactile Internet,IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2020,3:1904-1913
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[10] Multisensor Fault Diagnosis Modeling Based on the Evidence Theory,IEEE TRANSACTIONS ON RELIABILITY,2018,2:513-521
