AI 技术在卫星通信/互联网领域的应用综述

刘雅琼1,2,3，吕哲1,2,3，赵亚飞3，寿国础1,2,3

（1. 先进信息网络北京实验室，北京 100876；

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2. 网络体系构建与融合北京市重点实验室，北京 100876；

3. 北京邮电大学信息与通信工程学院，北京 100876）

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面向低轨卫星的

频谱认知智能管控

CognitiveIntelligentSpectrumManagementanControlforLowEarthOrbitSatelliteSystemd

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李高/LI Gao1，王威/WANG Wei1，吴启晖/WU Qihui1

（南京航空航天大学电磁频谱空间认知动态系统工业和信息化部重点实验室，中国南京210016）

(Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry

and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

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低轨电磁监测智能处理框架与关键技术综述

夏瑞 王敬超 邓博于 薛超

LEO constellation-based electromagnetic monitoring intelligent processing framework and a review of key technologies

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XIA Rui, WANG Jing-chao, DENG Bo-yu, XUE Chao

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Utilizing digital twins for nuclear safeguards and security

Ryan Stewart, Ashley Shields, Samuel Bays, Christopher Ritter,

Gustavo Reyes, Mark Schanfein

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March 2023

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Diagnostic Digital Twin for Nuclear Piping-Equipment Systems using

Deep Learning Approaches

Harleen Kaur Sandhu1, Saran Srikanth Bodda2, Will Ashe3, Abhinav Gupta4,

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Kevin Han5, Bruce Greer6, and Hasan Charkas7

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Digital Technologies for Operation & Maintenance Efficiency of Nuclear Power Plants

- Leading to Further Safety, Reliability, and Performance -

Mitsubishi Heavy Industries Technical Review Vol. 61 No. 4 (January 2025)

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1

*1 Engineering Manager, Electrical and Instrument & Control Department, Nuclear Energy Systems

*2 Electrical and Instrument & Control Department, Nuclear Energy Systems

*3 Engineering Manager, Nuclear Systems Engineering Department, Nuclear Energy Systems

*4 General Manager, Nuclear Systems Engineering Department, Nuclear Energy Systems

*5 Nuclear Systems Engineering Department, Nuclear Energy Systems

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Digital twin challenges and opportunities for nuclear fuel manufacturing applications

Revolution in Military Affairs