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Published in 2018 at "Engineering Analysis With Boundary Elements"
DOI: 10.1016/j.enganabound.2018.02.009
Abstract: Abstract Taking full advantage of the indirect boundary element method (IBEM) and fast multi-pole expansion algorithm, this paper proposes a fast multi-pole indirect boundary element method (FM-IBEM) to solve the scattering of high-frequency seismic waves…
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Keywords:
high frequency;
wave scattering;
fast multi;
multi pole ... See more keywords
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Published in 2023 at "Big data"
DOI: 10.1089/big.2022.0125
Abstract: A joint determination of horizontal and vertical movement of water through porous medium is addressed in this study through fast multi-output relevance vector regression (FMRVR). To do this, an experimental data set conducted in a…
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Keywords:
regression;
multi output;
water;
fast multi ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3251024
Abstract: The geometric high-order regularization methods such as mean curvature and Gaussian curvature, have been intensively studied during the last decades due to their abilities in preserving geometric properties including image edges, corners, and contrast. However,…
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Keywords:
grid methods;
fast multi;
multi grid;
method ... See more keywords
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Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3178480
Abstract: A novel class of fast Multi-Modulus algorithms (fastMMA) for Blind Source Separation (BSS) and deconvolution are presented in this work. These are obtained through a fast fixed-point optimization rule used to minimize the Multi-Modulus (MM)…
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Keywords:
deconvolution algorithms;
blind deconvolution;
modulus blind;
multi modulus ... See more keywords
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Published in 2019 at "Journal of Vibroengineering"
DOI: 10.21595/jve.2018.19515
Abstract: The traditional method of fundamental solution (T-MFS) is known as an effective method for solving the scattering of elastic waves, but the T-MFS is inefficient in solving large-scale or broadband frequency problems. Therefore, in order…
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Keywords:
pole accelerated;
broadband scattering;
method fundamental;
fast multi ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24060775
Abstract: Recently, deep neural network-based image compressed sensing methods have achieved impressive success in reconstruction quality. However, these methods (1) have limitations in sampling pattern and (2) usually have the disadvantage of high computational complexity. To…
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Keywords:
network;
multi scale;
image compressed;
fast multi ... See more keywords