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Non-linear dynamics of United States streamflow dataset. [PDF]
RaczyĆski K, Grala K, Cartwright JH.
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FKG-MM: A multi-modal fuzzy knowledge graph with data integration in healthcare. [PDF]
Tan NH +5 more
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Population structure of wild and cultivated grapevines in Armenia. [PDF]
Nikoghosyan M +9 more
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More protein-ligand data are needed for AlphaFold-like models to enable drug discovery. [PDF]
Singh S +3 more
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Deep Learning-Based Evaluation of Postural Control Impairments Caused by Stroke Under Altered Sensory Conditions. [PDF]
Najipour A +3 more
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Set-Membership filtering with incomplete observations
Information Sciences, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuan Wang +4 more
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Nonlinear state estimation by Extended Parallelotope Set-Membership Filter
ISA Transactions, 2022In this paper, we propose a state estimation method called the Extended Parallelotope Set-Membership Filter that provides a higher estimation accuracy than existing methods for discrete-time nonlinear systems. The Extended Parallelotope Set-Membership Filter is motivated by the fact that the iteration operations in existing methods generate much ...
Danyang Qu +5 more
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Set-membership subband adaptive filters
2008 3rd International Symposium on Communications, Control and Signal Processing, 2008In this paper, the concept of set-membership (SM) adaptive filtering is extended to the subband adaptive filters (SAFs) and a novel SM-SAF algorithm is presented. The proposed algorithm exhibits superior performance with significant reduction in the overall computational complexity compared with the ordinary SAF.
Mohammad Shams Esfand Abadi +1 more
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Least trace extended set-membership filter
Science China Information Sciences, 2010To improve the consistency of estimation result, a least-trace extended set-membership filter (LTESMF) is presented for a class of nonlinear stochastic systems, which has linear output and unknown-but-bounded noise. Feedback technique is used instead of the intersection of ellipsoid-sets in the measurement update. The feedback parameter is optimized in
Huang, Yi, Chen, Zongji, Wei, Chen
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