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Published in 2025 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.4970
Abstract: Numerical weather prediction is becoming increasingly reliant on the assimilation of cloudâaffected satellite observations. Their assimilation implicitly linearizes nonlinear observation operators in ensemble Kalman filters. The linearization causes the posterior to deviate from its linear…
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Keywords:
radiances ensemble;
linear approximation;
assimilation;
infrared radiances ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-53105-0
Abstract: Whole-brain models have proven to be useful to understand the emergence of collective activity among neural populations or brain regions. These models combine connectivity matrices, or connectomes, with local node dynamics, noise, and, eventually, transmission…
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Keywords:
brain;
brain model;
whole brain;
linear approximation ... See more keywords
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Published in 2019 at "Electronics Letters"
DOI: 10.1049/el.2018.8019
Abstract: In this Letter, the authors propose a novel revised regularisation to improve the performance of compressive sensing (CS) reconstruction. They suppose that a specific regularisation term is insufficient to accommodate the prior information of CS…
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Keywords:
approximation term;
term;
compressive sensing;
linear approximation ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3140242
Abstract: The substitution box (S-box) is one of the major components of cryptographic algorithms. An important issue for cryptographic algorithm designers in ensuring sufficient security from linear cryptanalysis, one of the most powerful attacks, is finding…
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Keywords:
approximation table;
linear approximation;
approximation;
box ... See more keywords
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Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3542965
Abstract: We consider the problem of online sparse linear approximation, where a learner sequentially predicts the best sparse linear approximations of an as yet unobserved sequence of measurements in terms of a few columns of a…
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Keywords:
follow approximate;
sparse linear;
sparse;
approximate sparse ... See more keywords
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Published in 2021 at "IEEE Transactions on Power Electronics"
DOI: 10.1109/tpel.2021.3079273
Abstract: Due to the high cost and shortage of rare earth materials, electrically excited synchronous machines (EESMs) become a potential alternative for electric vehicles. With the help of inductive power transfer (IPT), the EESM would easily…
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Keywords:
order;
linear approximation;
order model;
reduced order ... See more keywords
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Published in 2022 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2022.3178717
Abstract: A power electronic transformer (PET) can flexibly regulate the power flow of a network and facilitate the integration of distributed energy resources via AC/DC networks. With the continuous expansion of the scale of multiregional interconnection…
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Keywords:
linear approximation;
pet;
power;
distribution networks ... See more keywords
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Published in 2018 at "Doklady Physics"
DOI: 10.1134/s1028335818110083
Abstract: Physical and mathematical models for describing the mechanism of operation of a new type of acoustic transducer are proposed within the linear approximation. The necessary equations and boundary conditions for describing the acoustic fields caused…
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Keywords:
method electroacoustic;
justification new;
approximation;
new method ... See more keywords
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Published in 2025 at "SIMULATION"
DOI: 10.1177/00375497251351941
Abstract: The growing intricacy of contemporary engineering systems, typically reduced to differential equations, poses a difficulty in digitally simulating them. The linearly implicit quantized state system (LIQSS) provides a different method from traditional numerical integration techniques…
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Keywords:
quantized state;
implicit quantized;
linear approximation;
state system ... See more keywords
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Published in 2024 at "Applied Sciences"
DOI: 10.3390/app15010266
Abstract: Prognostics aims to predict the remaining useful life (RUL) of an in-service system based on its degradation data. Existing methods, such as artificial neural networks (ANNs) and their variations, often face challenges in real-world applications…
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Keywords:
based stepwise;
degradation;
linear approximation;
nonlinear degradation ... See more keywords
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Published in 2017 at "Entropy"
DOI: 10.3390/e19110619
Abstract: Sandwich structures are very attractive due to their high strength at a minimum weight, and, therefore, there has been a rapid increase in their applications. Nevertheless, these structures may present imperfect bonding or debonding between…
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Keywords:
approximation maximum;
maximum entropy;
strain energy;
linear approximation ... See more keywords