Results 31 to 40 of about 6,804 (186)
Selecting Milk Spectra to Develop Equations to Predict Milk Technological Traits
Foods, 2021 Including all available data when developing equations to relate midinfrared spectra to a phenotype may be suboptimal for poorly represented spectra. Here, an alternative local changepoint approach was developed to predict six milk technological traits ...
Maria Frizzarin +3 more
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Remote Sensing, 2023 Soil salinization seriously threatens agricultural production and ecological environments in arid areas. The accurate and rapid monitoring of soil salinity and its spatial variability is of great significance for the amelioration of saline soils. In this
Xianglong Fan +9 more
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Re‐interpretation of NIPALS results solves PLSR inconsistency problem [PDF]
Journal of Chemometrics, 2008 AbstractThe well‐known nonlinear iterative partial least squares (NIPALS) algorithm is commonly used for computation of components in partial least squares regression (PLSR) with orthogonalized score vectors. Based on generalized inverse formalism, Pell et al.[1] have recently claimed that the NIPALS results are inconsistent with respect to model ...
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Ecological Indicators, 2021 Leaf mass per area (LMA), leaf dry matter content (LDMC) and leaf water content/ equivalent water thickness (EWT) are commonly used functional plant traits in ecology.
Kenny Helsen +7 more
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Constrained numerical optimization of PCR/PLSR predictors [PDF]
Chemometrics and Intelligent Laboratory Systems, 2003 Abstract Assuming a fully known latent variables (LV) model, the optimal multivariate calibration predictor is found from Kalman filtering theory. From this follows the best possible column space for a loading weight matrix W opt. in a predictor based on the latent variables, and thus the optimal factorization of the regressor matrix X . Although
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CRACKS CHARACTERIZATION OF NON-FERROMAGNETIC MATERIAL USING EMAT PROBE AND PLSR TECHNIQUE [PDF]
Progress In Electromagnetics Research C, 2020 The aim of this research is to propose a new efficient and reliable approach on the field of Non Destructive Testing (NDT), for the characterization of cracks in non-ferromagnetic material by Electromagnetic Acoustic Transducer (EMAT). EMAT is an ultrasonic technique that generates and detects ultrasonic waves in the conductive material without ...
Boughedda, Houssem +3 more
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PENERAPAN METODE PARTIAL LEAST SQUARE REGRESSION (PLSR) PADA KASUS SKIZOFRENIA
E-Jurnal Matematika, 2021 Partial Least Square Regression (PLSR) is a method that combines principal component analysis and multiple linear regression, which aims to predict or analyze the dependent variable and more than one independent variable.
NI WAYAN ARI SUNDARI +2 more
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Model Building by Merging Submodels Using PLSR
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 2003 PLSR (partial least squares regression) has become a basic tool for chemometrics, monitoring and modeling of processes, etc. The basic idea of PLSR is to relate two data matrices X and Y into a multivariate linear model, for analysis of the data with noisy and collinear variables.
Li, Cheng-Chih, H.P., Huang
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AgriFood: Journal of Agricultural Products for Food, EarlyView.This review explores how processing and macromolecular interactions shape resistant starch dynamics in whole‐grain cereals. It highlights how these transformations influence nutritional quality, digestion kinetics, and product properties, offering insights for designing stable health‐oriented whole‐grain foods with optimized functional benefits ...
Yuewen Tan +4 more
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Rock and Soil Mechanics, 2021 The scientific prediction of the TBM penetration rate is of great significance to the selection of hydraulic tunnel construction methods, construction schedule and cost estimation.
YAN Chang-bin +5 more
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