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Reverse order law for reflexive generalized inverses of products of matrices
(Elsevier Science IncNew YorkEUA, 1998)
Topology optimization for designing strain-gauge load cells
(SPRINGER, 2010)
Load cells are used extensively in engineering fields. This paper describes a novel structural optimization method for single- and multi-axis load cell structures. First, we briefly explain the topology optimization method ...
Singular Value Decomposition and Ligand Binding Analysis
(Hindawi Publishing Corporation, 2013-01-01)
Singular values decomposition (SVD) is one of the most important computations in linear algebra because of its vast application for data analysis. It is particularly useful for resolving problems involving least-squares ...
Unsupervised Processing of Geophysical Signals A review of some key aspects of blind deconvolution and blind source separation
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2012)
Analysis of a multiclass classification problem by Lasso Logistic Regression and Singular Value Decomposition to identify sound patterns in queenless bee colonies
(Elsevier, 2019-04)
This study presents an analysis of a multiclass classification problem to identify queenless states by monitoring bee sound in two possible cases; a strong and healthy colony that lost its queen and a reduced population ...
Higher-Order Partial Least Squares (HOPLS) : a generalized multi-linear regression method
(IEEE Computer Society, 2013-07)
A new generalized multilinear regression model, termed the Higher-Order Partial Least Squares (HOPLS), is introduced with the aim to predict a tensor (multiway array) Y from a tensor X through projecting the data onto the ...
The relationship between South Atlantic SST and SACZ intensity and positioning
(SpringerHeidelberg, 2014)
This study explores the ocean–atmosphere
interaction in the formation and dynamics of the South
Atlantic Convergence Zone (SACZ), through the analysis
of the heat sources estimated through the outgoing longwave
radiation. ...
Distribution-free multiple imputation in an interaction matrix through singular value decomposition
(São Paulo - Escola Superior de Agricultura Luiz de Queiroz, 2008)
Some techniques of multivariate statistical analysis can only be conducted on a complete data matrix, but the process of data collection often misses some elements. Imputation is a technique by which the missing elements ...
Spectral proper orthogonal decomposition and resolvent analysis of near-wall coherent structures in turbulent pipe flows
(2020-01-01)
Direct numerical simulations, performed with a high-order spectral-element method, are used to study coherent structures in turbulent pipe flow at friction Reynolds numbers and. The database was analysed using spectral ...