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Early cancer diagnosis <i>via</i> interpretable two-layer machine learning of plasma extracellular vesicle long RNA. [PDF]
Liu SC, Zhang H.
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Dimensionality reduced antenna array for beamforming/steering. [PDF]
Xia S +10 more
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Empirical Blaschke Mode decomposition: Algorithm and application. [PDF]
Li S, Wu J.
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Experimental and Machine Learning Study of a Modified Cymbal Piezoelectric Energy Harvester. [PDF]
Seecharan T +5 more
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Compression of 3D Optical Encryption Using Singular Value Decomposition. [PDF]
Park K, Lee MC, Cho M.
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Applications of singular-value decomposition (SVD)
Mathematics and Computers in Simulation, 2004This work, supported by the Russian Ministry of Education, proposes and illustrates the use of singular-value decomposition (SDV) in terms of \(2\times 2\) matrices, using the suggestive terms ``hanger'', ``aligner'', ``stretcher'' and claiming that the use of SVD in education is still in its infancy.
Gennadi Malaschonok
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Singular Value Decomposition (SVD) Image Coding
IRE Transactions on Communications Systems, 1976The numerical techniques of transform image coding are well known in the image bandwidth compression literature. This concise paper presents a new transform method in which the singular values and singular vectors of an image are computed and transmitted instead of transform coefficients. The singular value decomposition (SVD) method is known to be the
H Andrews
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Substructuring technique: improvement by means of singular value decomposition (SVD)
Applied Acoustics, 2001Abstract There are two classical methods used for the determination of the dynamic behaviour of a coupled structure: (a) analytical modeling and (b) experimental modal analysis. However, both these methods fail to give acceptable results due to various reasons.
D T Tsahalis
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Differentiable singular value decomposition (SVD)
Mechanical Systems and Signal ProcessingSicheng He, Rohit Kanchi
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