[1]安建平, 李建国, 于季弘, 等.空天通信网络关键技术综述[J].电子学报, 2022, 50(02):470-479
[2]AN J P, LI J G, YU J H, et al.A Survey on Key Tech-nologies of Aeronautical Communication Networks[J].Acta Electronica Sinica, 2022, 50(02):470-479
[3]GUO H, LI J, LIU J, et al.A Survey on Space-Air-Ground-Sea Integrated Network Security in 6G[J].IEEE Communications Surveys & Tutorials, 2022, 24(1):53-87
[4]喻思琪, 张小红, 郭斐, 等.卫星导航进近技术进展[J].航空学报, 2019, 40(03):16-37
[5]YU S Q, ZHANG X H, GUO F, et al.Advances in Satellite Navigation Approach Technology[J].Acta Aeronautica et Astronautica Sinica, 2019, 40(03):16-37
[6]H.AL-HRAISHAWI,HCHOUGRANI. A Survey on Nongeosta tionary Satellite Systems: The Communi-cation Perspective[J].IEEE Communications Surveys & Tutorials, 2023, 25(1):101-132
[7]YKAWAMOTO Y, TAKAHASHI M, VERMA S.Traf-fic-Pre diction-Based Dynamic Resource Control Strategy in HAPS-Mounted MEC-Assisted Satellite Communication Systems[J].IEEE Internet of Things Journal, 2024, 11(8):13824-13836
[8]ZHANG B, YUAN F W, BO Y Z, et al.Progress and Challenges in Intelligent Remote Sensing Satellite Systems[J]. IEEE Journal of Selected Topics in Ap-plied Earth Observations and Remote Sensing, 2022, 15:1814-1822.[J].IEEE Journal of Selected Topics in Applied Earth Ob-servations and Remote Sensing, 2022, 15:1814-1822
[9]康梦轩, 宋俊平, 范鹏飞, 等.基于深度学习的网络流量预测研究综述[J].计算机工程与应用, 2021, 57(10):1-9
[10]KANG M X, SONG J P, FAN P F, et al.A Review on Network Traffic Prediction Based on Deep Learning[J].Computer Engineering and Applications, 2021, 57(10):1-9
[11]SHEN W X, ZHANG H X, GUO S S, et al.Time-Wise Attention Aided Convolutional Neural Network for Data-Driven Cellular Traffic Prediction[J].IEEE Wireless Communications Letters, 2021, 10(8):1747-1751
[12]MA X, ZHENG B, JIANG G, et al.Cellular Network Traffic Prediction Based on Correlation ConvLSTM and Self-Attention Network[J].IEEE Communica-tions Letters, 2023, 27(7):1909-1912
[13]潘成胜, 王羽夫, 杨力.基于改进算法的天地一体化信息网络流量预测[J].天地一体化信息网络, 2020, 1(02):57-65
[14]PAN C S, WANG Y F, YANG L.Traffic Prediction in Integrated Space-Ground Information Networks Based on Improved LSTM Algorithm[J].Integrated Space-Ground Information Network, 2020, 1(02):57-65
[15]D.A. TEDJOPURNOMO,BAO Z,ZHENG B,et alA Survey on Modern Deep Neural Network for Traffic Prediction: Trends,Methods and Challenges[J].IEEE Transactions on Knowledge and Data Engineering, 2022, 34(4):1544-1561
[16]PAN S J, YANG Q.A Survey on Transfer Learning[J].IEEE Transactions on Knowledge and Data Engineer-ing, 2010, 22(10):1345-1359
[17]FU Z Z, ZHU Y Q, KE Y D, et al.A Comprehensive Survey on Transfer Learning[J].Proceedings of the IEEE, 2021, 109(1):43-76
[18]NIU S T, LIU M, LIU Y X, et al.Distant Domain Transfer Learning for Medical Imaging[J].IEEE Journal of Biomedical and Health Informatics, 2021, 25(10):3784-3793
[19]ZHANG K, LIU Q, OIAN H, et al.EATN: An Effi-cient Adaptive Transfer Network for Aspect-Level Sentiment Analysis[J] IEEE Transactions on Knowledge and Data Engineering, 2023, 35(1):377-389.[J].IEEE Transactions on Knowledge and Data Engineering, 2023, 35(1):377-389
[20]于功也, 蔡伟东, 胡明辉, 等.故障机理与领域自适应混合驱动的机械故障智能迁移诊断[J].航空学报, 2023, 44(02):321-332
[21]YU G Y, CAI W D, HU M H, et al.Intelligent Trans-fer Diagnosis of Mechanical Faults Driven by Fault Mechanism and Domain Adaptation[J].Acta Aero-nautica et Astronautica Sinica, 2023, 44(02):321-332
[22]XU L, LIU H, SONG J, et al.TransMUSE: Transfera-ble Traffic Prediction in MUlti-Service Edge Net-works[J]. Computer Networks, 2023, 221:109518.[J].Social Science Electronic Publishing, 2022, :-
[23]Hu D L, Chen L, Fang H X, Z.Fang,et alSpatio-Temporal Trajectory Similarity Measures: A Compre-hensive Survey and Quantitative Study[J].IEEE Transactions on Knowledge and Data Engineering, 2024, 36(5):2191-2212
[24]覃继前, 徐宁辉, 梁月吉.不同卫星高度角对融合定位的影响[J].全球定位系统, 2021, 46(02):62-68
[25]QIN J Q, XU N H, LIANG Y J.The Impact of Differ-ent Satellite Elevation Angles on GPSGLONASSBDSGalileo Integrated Positioning[J].Global Positioning Systems, 2021, 46(02):62-68
[26] SAKURAI Y, PAPADIMITRIOU S, FALOUTSOS C.BRAID: Stream mining through group lag correla-tions[C]//Acm Sigmod Conference.ACM, 2005.
[27] FAWAZ H I, FORESTIER G, WEBER J, et al.Trans-fer learning for time series classification[C]//IEEE In-ternational Conference on Big Data.IEEE, 2018:1367–1376.
[28]S.HOCHREITER,JSCHMIDHUBER. Long Short-Term Memory[J].Neural Computation, 1997, 9(8):1735-1780
[29]LINDEMANN B, MüLLER T, VIETZ H, JAZDI N, et al.A survey on long short-term memory networks for time series prediction[J]. Procedia CIRP, 2021, 99: 650-655.[J].Procedia CIRP, 2021, 99:650-655
[30] DAI W, YANG Q, XUE G-R, et al.Boosting for transfer learning[C]//Proceedings of the 24th interna-tional conference on Machine learning Corvalis Ore-gon USA:ACM, 2007:193-200.
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