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Published in 2020 at "IUCrJ"
DOI: 10.1107/s2052252520000081
Abstract: Methods are presented that estimate symmetrical and antisymmetrical optical aberrations, as well as magnification anisotropy, in a cryo-EM data set. Considering these effects improves the resolution of the 3D reconstruction when these effects are present.
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Keywords:
order aberrations;
magnification;
cryo data;
high order ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3027349
Abstract: This paper addresses the problem of performance degradation estimation of high-speed train lateral damper based on SDS-CNN. The proposed SDS-CNN consists of two types convolution modules, i.e., DA-Module and FE-Module, where the DA-Module is used…
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Keywords:
performance degradation;
degradation estimation;
speed train;
high speed ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3149280
Abstract: Multivariate density estimation methods typically work well in low dimensions and their extension to data analytics in high dimensions domain has proven challenging. For density estimation in high-dimensional big data domains, the non-parametric Bayesian sequential…
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Keywords:
density;
estimation high;
density estimation;
high dimensional ... See more keywords
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Published in 2017 at "International Journal on Electrical Engineering and Informatics"
DOI: 10.15676/ijeei.2017.9.3.10
Abstract: The Symbol timing estimation in a high data rate mobile OFDM systems is a challenging task, this is due to the high delay spread. A conventional timing estimation based on autocorrelation experience performance degradation due…
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Keywords:
estimation;
high data;
timing estimation;
estimation high ... See more keywords
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Published in 2017 at "Seismological Research Letters"
DOI: 10.1785/0220170059
Abstract: All figures and tables in the article are correct, but the text appearing in the last five lines on the left side of page 1476 (which describes Fig. 10a and Table 3) should be amended. Please …
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Keywords:
erratum empirical;
frequency ground;
high frequency;
ground motion ... See more keywords
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1
Published in 2022 at "Mathematics"
DOI: 10.3390/math10081244
Abstract: We introduce Graphical TREX (GTREX), a novel method for graph estimation in high-dimensional Gaussian graphical models. By conducting neighborhood selection with TREX, GTREX avoids tuning parameters and is adaptive to the graph topology. We compared…
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Keywords:
graph estimation;
topology;
graph;
adaptive graph ... See more keywords