Results 231 to 240 of about 171,090 (289)
Investigating the core microbiome concept: Daphnia as a case study. [PDF]
Gurung A +8 more
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Delegated multi-party private set intersections from extendable output functions. [PDF]
Bay A.
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A hybrid dense convolutional network and fuzzy inference system for pneumonia diagnosis with dynamic symptom tracking. [PDF]
Baral S, Bista R, Sigdel S, Ferreira JC.
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Comparative transcriptomics of anthocyanin accumulation in the pericarp of pigmented purple corn. [PDF]
Holly AA, Michael PN, John JA.
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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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