Results 151 to 160 of about 91,920 (292)

Correlation of Glucosinolates and Volatile Constituents of Six Brassicaceae Seeds with Their Antioxidant Activities Based on Partial Least Squares Regression. [PDF]

Plants (Basel), 2022
Khalil N, Gad HA, Al Musayeib NM, Bishr M, Ashour ML.   +4 more
europepmc   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

An adjusted partial least squares regression framework to utilize additional exposure information in environmental mixture data analysis. [PDF]

J Appl Stat, 2023
Du R, Luo L, Hudson LG, Nozadi S, Lewis J.   +4 more
europepmc   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

Prediction of the Nitrogen Content of Rice Leaf Using Multi-Spectral Images Based on Hybrid Radial Basis Function Neural Network and Partial Least-Squares Regression. [PDF]

Sensors (Basel), 2022
Wu Y, Al-Jumaili SJ, Al-Jumeily D, Bian H.   +3 more
europepmc   +1 more source

Molecular Dynamics Studies of Shape Memory Polymers: From Bead–Spring Models to Atomistic Simulations

Advanced Engineering Materials, EarlyView.
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley   +1 more source

Partial least squares regression and principal component analysis: similarity and differences between two popular variable reduction approaches. [PDF]

Gen Psychiatr, 2022
Liu C, Zhang X, Nguyen TT, Liu J, Wu T, Lee E, Tu XM.   +6 more
europepmc   +1 more source

ANALISIS PARTIAL LEAST SQUARES REGRESI (PLS-R) PARTIAL LEAST SQUARES REGRESSION (PLS-R) ANALYSIS

, 2013
Partial Least Squares Regression (PLS-R) method is regression linear technique for multivariate predictor variable X with response variable Y. The best linear PLS-R model is build by reducing predictor variable X.
, INGGRIT RABERTA, , Dr.Abdurakhman,S.Si.,M.Si.   +1 more
core  

Nondestructive Testing of Welded Composite Metal Foams

Advanced Engineering Materials, EarlyView.
X‐ray computed tomography (CT) is used to evaluate welded steel–steel composite metal foam (CMF) joints of two density classes. It reports variation in postweld spatial void distribution and correlates it to weld‐induced changes, mechanical performance, and failure within welded CMF panels.
Chinmaya Prerana Inguva, Aman Kaushik, Afsaneh Rabiei   +2 more
wiley   +1 more source

Partial least squares regression with compositional response variables and covariates. [PDF]

J Appl Stat, 2021
Chen J, Zhang X, Hron K.
europepmc   +1 more source