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Keywords: multiple mobile manipulators; cooperative transportation control; motion planning; energy and manipulability; distributed optimization
Cite as: Chen J, Kai S X. Cooperative transportation control of multiple mobile manipulators through distributed optimization. Sci China Inf Sci, 2018, 61(12): 120201, doi: 10.1007/s11432-018-9588-0
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Keywords: high-speed trains; moving block system; cooperative control
Cite as: Ning B, Dong H R, Gao S G, et al. Distributed cooperative control of multiple high-speed trains under a moving block system by nonlinear mapping-based feedback. Sci China Inf Sci, 2018, 61(12): 120202, doi: 10.1007/s11432-018-9563-y
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Keywords: top500; gordon bell prize; large-scale; supercomputer
Cite as: Zheng W M. Research trend of large-scale supercomputers and applications from the TOP500 and Gordon Bell Prize. Sci China Inf Sci, 2020, 63(7): 171001, doi: 10.1007/s11432-020-2861-0
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Unifying logic rules and machine learning for entity enhancing
Fan, Wenfei; Lu, Ping; Tian, Chao
Sci China Inf Sci, 2020, 63(7): 172001
Keywords: logic rules; machine learning; entity enhancing; entity resolution; conflict resolution
Cite as: Fan W F, Lu P, Tian C. Unifying logic rules and machine learning for entity enhancing. Sci China Inf Sci, 2020, 63(7): 172001, doi: 10.1007/s11432-020-2917-1
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Keywords: parametric design of control systems; multi-objective designs; robust observers; super flexible spacecraft; parameter perturbations; high-order flexible modes
Cite as: Duan G-R, Zhao T-Y. Observer-based multi-objective parametric design for spacecraft with super flexible netted antennas. Sci China Inf Sci, 2020, 63(7): 172002, doi: 10.1007/s11432-020-2916-8
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A new optimization algorithm applied in electromagnetics — Maxwell's equations derived optimization (MEDO)
Su, Donglin; Li, Lilin; Yang, Shunchuan; Li, Bing; Chen, Guangzhi; Xu, Hui
Sci China Inf Sci, 2020, 63(10): 200301
Keywords: electromagnetic theory; heuristic optimization; high-dimensionality; maxwell's equations; multimodal
Cite as: Su D L, Li L L, Yang S C, et al. A new optimization algorithm applied in electromagnetics — Maxwell's equations derived optimization (MEDO). Sci China Inf Sci, 2020, 63(10): 200301, doi: 10.1007/s11432-020-2927-2
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Improving performance of robots using human-inspired approaches: a survey
Qiao, Hong; Zhong, Shanlin; Chen, Ziyu; Wang, Hongze
Sci China Inf Sci, 2022, 65(12): 221201
Keywords: human-inspired intelligent robots; brain-inspired intelligence; decision making; visual cognition; musculoskeletal robots
Cite as: Qiao H, Zhong S L, Chen Z Y, et al. Improving performance of robots using human-inspired approaches: a survey. Sci China Inf Sci, 2022, 65(12): 221201, doi: 10.1007/s11432-022-3606-1
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A systematic review for smart identifier networking
Zhang, Hongke; Feng, Bohao; Tian, Aleteng
Sci China Inf Sci, 2022, 65(12): 221301
Keywords: identifier networking; smart collaborative networking; smart integration identifier networking; smart identifier networking; the next-generation networking
Cite as: Zhang H K, Feng B H, Tian A L T. A systematic review for smart identifier networking. Sci China Inf Sci, 2022, 65(12): 221301, doi: 10.1007/s11432-022-3577-8
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Locally differentially private high-dimensional data synthesis
Chen, Xue; Wang, Cheng; Yang, Qing; Hu, Teng; Jiang, Changjun
Sci China Inf Sci, 2023, 66(1): 112101
Keywords: preserving protocols local differential privacy; high-dimensional data synthesis; sampling; data privacy; privacy-
Cite as: Chen X, Wang C, Yang Q, et al. Locally differentially private high-dimensional data synthesis. Sci China Inf Sci, 2023, 66(1): 112101, doi: 10.1007/s11432-022-3583-x
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Categorizing methods for integrating machine learning with executable specifications
Harel, David; Yerushalmi, Raz; Marron, Assaf; Elyasaf, Achiya
Sci China Inf Sci, 2024, 67(1): 111101
Keywords: machine learning; artificial intelligence; grey box learning; domain knowledge; rules; behavioral programming; deep reinforcement learning; survey
Cite as: Harel D, Yerushalmi R, Marron A, et al. Categorizing methods for integrating machine learning with executable specifications. Sci China Inf Sci, 2024, 67(1): 111101, doi: 10.1007/s11432-022-3826-6
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NeurDB: an AI-powered autonomous data system
Ooi, Beng Chin; Cai, Shaofeng; Chen, Gang; Shen, Yanyan; Tan, Kian-Lee; Wu, Yuncheng; Xiao, Xiaokui; Xing, Naili; Yue, Cong; Zeng, Lingze; Zhang, Meihui; Zhao, Zhanhao
Sci China Inf Sci, 2024, 67(10): 200901
Keywords: AI×DB; in-database AI; intelligent data system
Cite as: Ooi B C, Cai S F, Chen G, et al. NeurDB: an AI-powered autonomous data system. Sci China Inf Sci, 2024, 67(10): 200901, doi: 10.1007/s11432-024-4125-9
