Single‐object localization using multiple ultrasonic sensors and constrained weighted least‐squares method
Sign Up to like & getrecommendations! Published in 2021 at "Asian Journal of Control"
DOI: 10.1002/asjc.2491
Abstract: In this paper, an active single‐object localization system with U‐shaped ultrasonic module array is presented. The proposed algorithm in this system has two stages. The first stage is time‐of‐flight (TOF) estimation of reflected ultrasonic signals.… read more here.
Keywords: single object; squares method; localization; least squares ... See more keywords
Robust iteratively reweighted SIMPLS
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Chemometrics"
DOI: 10.1002/cem.2881
Abstract: Partial least squares regression is a very powerful multivariate regression technique to model multicollinear data or situation where the number of explanatory variables is larger than the sample size. Two algorithms, namely, Non‐linear Iterative Partial… read more here.
Keywords: reweighted simpls; least squares; iteratively reweighted; robust iteratively ... See more keywords
A frequency‐localized recursive partial least squares ensemble for soft sensing
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DOI: 10.1002/cem.2999
Abstract: We report the use of a frequency‐localized adaptive soft sensor ensemble using the wavelet coefficients of the responses from the physical sensors. The proposed method is based on building recursive, partial least squares soft sensor… read more here.
Keywords: soft sensor; least squares; recursive partial; wavelet ... See more keywords
Local partial least squares based on global PLS scores
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DOI: 10.1002/cem.3117
Abstract: A local‐based method for near‐infrared spectroscopy predictions, the local partial least squares regression on global PLS scores (LPLS‐S), is proposed in this work and compared with the usual local PLS (LPLS) regression approach. LPLS‐S is… read more here.
Keywords: pls; least squares; local partial; lpls ... See more keywords
Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Chemometrics"
DOI: 10.1002/cem.3277
Abstract: To collect infrared (IR) absorbance spectra from an automotive paint chip with an IR imaging microscope, it is a common practice to cast the paint chip in epoxy and then cross section it using a… read more here.
Keywords: paint; least squares; microscopy; automotive paint ... See more keywords
Using Quantile and Asymmetric Least Squares Regression for Optimal Risk Adjustment
Sign Up to like & getrecommendations! Published in 2017 at "Health Economics"
DOI: 10.1002/hec.3352
Abstract: In this paper, we analyze optimal risk adjustment for direct risk selection (DRS). Integrating insurers' activities for risk selection into a discrete choice model of individuals' health insurance choice shows that DRS has the structure… read more here.
Keywords: risk adjustment; optimal risk; least squares; squares regression ... See more keywords
Linear calibrations in chromatography: the incorrect use of ordinary least squares for determinations at low levels, and the need to redefine the limit of quantification with this regression model.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of separation science"
DOI: 10.1002/jssc.202000094
Abstract: Ordinary least squares is widely applied as the standard regression method for analytical calibrations, and it is usually accepted that this regression method can be used for quantification starting at the limit of quantification. However,… read more here.
Keywords: limit quantification; ordinary least; least squares; low levels ... See more keywords
Least squares X=±Xη* solutions to split quaternion matrix equation AXAη*=B
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.6033
Abstract: In the paper, the split quaternion matrix equation AXAη*=B is considered, where the operator Aη* is the η‐conjugate transpose of A, where η∈{i,j,k}. We propose some new real representations, which well exploited the special structures… read more here.
Keywords: least squares; matrix equation; equation; quaternion matrix ... See more keywords
Algebraic techniques for least squares problems in commutative quaternionic theory
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DOI: 10.1002/mma.6135
Abstract: Due to the rise of commutative quaternion in Hopfield neural networks, digital signal, and image processing, one encounters the approximate solution problems of the commutative quaternion linear equations AX≈B and AXC≈B . This paper, by… read more here.
Keywords: squares problems; commutative quaternion; least squares; commutative quaternionic ... See more keywords
A robust least squares based approach to min‐max model predictive control
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DOI: 10.1002/rnc.5011
Abstract: This article deals with the model predictive control (MPC) of linear, time‐invariant discrete‐time polytopic (LTIDP) systems. The 2‐fold aim is to simplify the treatment of complex issues like stability and feasibility analysis of MPC in… read more here.
Keywords: model predictive; predictive control; least squares; approach ... See more keywords
Sparse partial least squares with group and subgroup structure.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7821
Abstract: Integrative analysis of high dimensional omics datasets has been studied by many authors in recent years. By incorporating prior known relationships among the variables, these analyses have been successful in elucidating the relationships between different… read more here.
Keywords: group subgroup; subgroup structure; least squares; partial least ... See more keywords