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作 者:Xiumei DENG Jun LI Long SHI Kang WEI Ming DING Yumeng SHAO Wen CHEN Shi JIN
机构地区:[1]Pillar of Information Systems Technology and Design,Singapore University of Technology and Design,Singapore 487372,Singapore [2]School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China [3]Department of Computing,Hong Kong Polytechnic University,Hong Kong 999077,China [4]Data61,CSIRO,Sydney NSW 2015,Australia [5]Department of Electronics Engineering,Shanghai Jiao Tong University,Shanghai 200240,China [6]National Mobile Communications Research Laboratory,Southeast University,Nanjing 210096,China
出 处:《Science China(Information Sciences)》2024年第11期369-370,共2页中国科学(信息科学)(英文版)
基 金:supported in part by Key Technologies R&D Program of Jiangsu(Prospective and Key Technologies for Industry)(Grant Nos.BE2023022,BE2023022-2);in part by National Natural Science Foundation of China(Grant No.62371239);in part by Jiangsu Specially-Appointed Professor Program 2021。
摘 要:The integration of artificial intelligence(AI)and digital twin(DT)technology has revolutionized the industrial Internet of Things(IIoT),enabling advanced automation and intelligent manufacturing[1].Through sophisticated interactions between physical entities and their virtual counterparts,AI-driven DTs facilitate performance monitoring,analysis,simulation,and optimization of physical assets,enabling predictive maintenance and informed decision-making[2].
关 键 词:PARTITION NETWORKS enabling
分 类 号:TN929.5[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程] TP311.13[自动化与计算机技术—计算机应用技术]
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