RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Interval analysis for neural networks with application to fault detection
Wang, Zhenhua; Ma, Youdao; Zhu, Song; Dinh, Thach Ngoc; Shen, Yi
Sci China Inf Sci, 2024, 67(11): 212205
Keywords: interval analysis; feedforward neural network; fault detection; adaptive thresholds
Cite as: Wang Z H, Ma Y D, Zhu S, et al. Interval analysis for neural networks with application to fault detection. Sci China Inf Sci, 2024, 67: 212205, doi: 10.1007/s11432-023-4146-6

SCIS Selected Articles on Semi-Tensor Product (STP)
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An STP look at logical blocking of finite state machines: formulation, detection, and search
Yan, Yongyi; Hao, Penglei; Yue, Jumei; Li, Haitao; Feng, Jun-E
Sci China Inf Sci, 2024, 67(10): 202208
Keywords: semi-tensor product of matrices; STP; matrix approach; finite-valued systems; logical systems; logical networks; finite state machines
Cite as: Yan Y Y, Hao P L, Yue J M, et al. An STP look at logical blocking of finite state machines: formulation, detection, and search. Sci China Inf Sci, 2024, 67: 202208, doi: 10.1007/s11432-022-4124-7

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Keywords: resiliently time-varying dynamic Bayesian network; non-stationary; complex industrial processes; safety control; causal relationship
Cite as: Wang J W, Chu F, Peng C, et al. Safety control scheme of non-stationary complex industrial processes based on resiliently time-varying dynamic Bayesian network. Sci China Inf Sci, 2026, 69: 119202, doi: 10.1007/s11432-025-4613-1

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Reduced KICA reconstruction modeling approach with dual attributes for fault diagnosis
Liu M Z, Kong X Y, Hu C H, et al
Sci China Inf Sci, 2026, 69(1): 112207
Keywords: fault diagnosis; fault subspace; fault magnitude; feature vector selection; kernel independent component analysis
Cite as: Liu M Z, Kong X Y, Hu C H, et al. Reduced KICA reconstruction modeling approach with dual attributes for fault diagnosis. Sci China Inf Sci, 2026, 69: 112207, doi: 10.1007/s11432-024-4689-9

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Observer-based fault reconstruction for continuous-time piecewise-affine systems: a novel iterative learning approach
Xu, Nuo; Zhu, Yanzheng; Wu, Fen; Chen, Xinkai
Sci China Inf Sci, 2026, 69(1): 112203
Keywords: accelerated iterative learning law; continuous-time piecewise-affine systems; fault reconstruction; region mismatch; region-dependent Lyapunov function
Cite as: Xu N, Zhu Y Z, Wu F, et al. Observer-based fault reconstruction for continuous-time piecewise-affine systems: a novel iterative learning approach. Sci China Inf Sci, 2026, 69: 112203, doi: 10.1007/s11432-024-4370-3

LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

An ensemble multivariate detection method for steady-state drift in process industries
Song, Wenshuo; Cao, Weihua; Yuan, Yan; Hu, Wenkai
Sci China Inf Sci, 2025, 68(8): 189202
Keywords: steady-state drift; process industry; drift detection; ensemble multivariate detection; concept drift
Cite as: Song W S, Cao W H, Yuan Y, et al. An ensemble multivariate detection method for steady-state drift in process industries. Sci China Inf Sci, 2025, 68: 189202, doi: 10.1007/s11432-024-4367-9

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Decentralized fault diagnosis of discrete-event systems with unreliable sensors using linear temporal logic
Dong, Weijie; Li, Shaoyuan; Yin, Xiang
Sci China Inf Sci, 2025, 68(1): 112207
Keywords: discrete event systems; decentralized diagnosis; codiagnosability; automata
Cite as: Dong W J, Li S Y, Yin X. Decentralized fault diagnosis of discrete-event systems with unreliable sensors using linear temporal logic. Sci China Inf Sci, 2025, 68: 112207, doi: 10.1007/s11432-023-4108-8

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Fault-tolerant flocking control against multiple malicious agents under geometric configuration containment
Zhang, Chencheng; Yang, Hao; Jiang, Bin
Sci China Inf Sci, 2024, 67(10): 202204
Keywords: flocking control; fault-tolerant control; multiple malicious agents; geometric configuration
Cite as: Zhang C C, Yang H, Jiang B. Fault-tolerant flocking control against multiple malicious agents under geometric configuration containment. Sci China Inf Sci, 2024, 67: 202204, doi: 10.1007/s11432-023-4035-9

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Fairness in machine learning: definition, testing, debugging, and application
Gao, Xuanqi; Shen, Chao; Jiang, Weipeng; Lin, Chenhao; Li, Qian; Wang, Qian; Li, Qi; Guan, Xiaohong
Sci China Inf Sci, 2024, 67(9): 191201
Keywords: artificial intelligence security; machine learning security; machine learning fairness; model testing; model debugging
Cite as: Gao X Q, Shen C, Jiang W P, et al. Fairness in machine learning: definition, testing, debugging, and application. Sci China Inf Sci, 2024, 67: 191201, doi: 10.1007/s11432-023-4060-x