Results 21 to 30 of about 6,407,802 (243)
TRUST MODEL FOR SOCIAL NETWORK USING SINGULAR VALUE DECOMPOSITION [PDF]
Interdisciplinary Description of Complex Systems, 2016 For effective interactions to take place in a social network, trust is important. We model trust of agents using the peer to peer reputation ratings in the network that forms a real valued matrix.
Davis Bundi Ntwiga +2 more
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Zhongguo dianli, 2021 Partial discharge signals are prone to missed detection under low signal-to-noise ratios, and the traditional singular value decomposition algorithm requires massive calculations when extracting partial discharge pulses.
Li WANG, Wei ZHANG, Dingnan LUO
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Split-and-Combine Singular Value Decomposition for Large-Scale Matrix
Journal of Applied Mathematics, 2013 The singular value decomposition (SVD) is a fundamental matrix decomposition in linear algebra. It is widely applied in many modern techniques, for example, high- dimensional data visualization, dimension reduction, data mining, latent semantic analysis,
Jengnan Tzeng
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A GPU-based singular value decomposition algorithm
, 2023 In this research paper we present an implementation of a singular value decomposition algorithm designed specifically for the graphics processing unit. It consists of two parts: orthogonal matrix decomposition and matrix diagonalization.
Sukharskyi, S.S.
core
Accelerated random noise suppression of seismic data using compressed singular-value decomposition
矿业科学学报Random noise is one of the common background noises in seismic data, and its attenuation will directly affect the signal-to-noise ratio of seismic data, which is of great significance to improve the quality of seismic data.
SUN Chao +4 more
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The Singular Value Decomposition over Completed Idempotent Semifields
Mathematics, 2020 In this paper, we provide a basic technique for Lattice Computing: an analogue of the Singular Value Decomposition for rectangular matrices over complete idempotent semifields (i-SVD).
Francisco J. Valverde-Albacete +1 more
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Identification of Seismic Reflections Using Singular Value Decomposition [PDF]
Modeling, Identification and Control, 1986 Singular value decomposition (SVD) is applied to the identification of seismic reflections by using two different models: the impulse response model where a seismic trace is assumed to consist of a known signal pulse convolved with a reflection ...
Bjørn Ursin, Yuying Zheng
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Singular Value Decomposition Wavelength-Multiplexing Ghost Imaging
PhotonicsTo enhance imaging quality, singular value decomposition (SVD) has been applied to single-wavelength ghost imaging (GI) or color GI. In this paper, we extend the application of SVD to wavelength-multiplexing ghost imaging (WMGI) for reducing the ...
Yingtao Zhang +3 more
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Feature extraction of vibration signal of roadheader based on singular value decompositio
Gong-kuang zidonghua, 2019 In view of difficulty of dynamic load identification of roadheader, feature extraction method of vibration signal of roadheader based on singular value decomposition was proposed.
ZHANG Linfeng +5 more
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Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source