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Published in 2022 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2022.110283
Abstract: PURPOSE Postoperative imaging following cochlear implant (CI) placement is currently the only means of diagnosing proper electrode position. Manual multiplanar reconstruction (MPR) analysis of CT and CBCT is time-consuming and requires extensive training. This study…
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Keywords:
time;
ultra fast;
mpr analysis;
cochlear implant ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2015.11.136
Abstract: This research presents a fast algorithm for projected support vector machines (PSVM) by selecting a basis vector set (BVS) for the kernel-induced feature space, the training points are projected onto the subspace spanned by the…
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Keywords:
vector;
support vector;
basis;
basis vector ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.08.048
Abstract: Abstract As a novel framework of clustering analysis, penalized clustering is able to learn the number of clusters automatically, and therefore has aroused widespread interest recently. To address the computational difficulties arising from the nonsmoothness…
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Keywords:
algorithm nonsmooth;
fast algorithm;
nonsmooth penalized;
penalized clustering ... See more keywords
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Published in 2020 at "Geophysical Journal International"
DOI: 10.1093/gji/ggaa005
Abstract: The transmission compensated primary reflections can be obtained from the single-sided acoustic reflection response in the two-way traveltime domain. This is achieved by eliminating free-surface and internal multiple reflections and compensating for transmission losses in…
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Keywords:
algorithm multiple;
transmission;
multiple elimination;
fast algorithm ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2819419
Abstract: The FastSLAM algorithm has become an effective way to solve the simultaneous localization and mapping (SLAM) problem. However, measured in terms of the number of particles required to build an accurate map, currently, its accuracy…
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Keywords:
simultaneous localization;
particle filter;
particle;
fast algorithm ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2838112
Abstract: Current FastSLAM algorithms face challenges such as heavy computing requirements and difficulty in enhancing estimation accuracy. This paper presents a fast algorithm of simultaneous localization and mapping (SLAM) based on combinatorial interval filters coupled with…
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Keywords:
based combinatorial;
interval;
fast algorithm;
combinatorial interval ... See more keywords
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Published in 2021 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2021.3086356
Abstract: Phased-array multibeam RF beamformers require calibration of receivers used in an array of elements before the signals can be applied to an analog beamforming network. This article presents a fast $\mathcal {O}(n^2)$ algorithm for solving…
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Keywords:
tex math;
delay vandermonde;
inline formula;
phased array ... See more keywords
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Published in 2018 at "IEEE Transactions on Electromagnetic Compatibility"
DOI: 10.1109/temc.2017.2746677
Abstract: In this paper, fast capacitor assignment algorithms capable of finding a decoupling solution scheme with a minimum number of components that meets a predefined target impedance with a semi-arbitrary shape within a few seconds to…
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Keywords:
algorithm minimizing;
number;
fast algorithm;
power distribution ... See more keywords
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Published in 2020 at "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control"
DOI: 10.1109/tuffc.2020.2996313
Abstract: Thêo1 is a frequency stability statistic that is similar to the Allan variance but can provide stability estimates at longer averaging factors and with higher confidence. However, the calculation of Thêo1 is significantly slower than…
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Keywords:
allan variance;
calculation;
data sets;
algorithm calculation ... See more keywords
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Published in 2018 at "Geophysics"
DOI: 10.1190/geo2017-0386.1
Abstract: A fast algorithm for solving the under-determined 3-D linear gravity inverse problem based on the randomized singular value decomposition (RSVD) is developed. The algorithm combines an iteratively reweighted approach for L1-norm regularization with the RSVD…
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Keywords:
large scale;
singular value;
system;
randomized singular ... See more keywords
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Published in 2017 at "Plasma and Fusion Research"
DOI: 10.1585/pfr.12.1201045
Abstract: Temporal evolution of two dimensional image of plasma emission has been obtained using a reconstruction algorithm called Maximum Likelihood-Expectation Maximization (MLEM), with a tomography system in a linear cylindrical plasma. The calculation of tomography images…
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Keywords:
reconstruction;
plasma emission;
plasma;
algorithm tomographic ... See more keywords