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 +7 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 +3 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 +16 more
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 +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 +1 more
core
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 with compositional response variables and covariates. [PDF]
J Appl Stat, 2021 Chen J, Zhang X, Hron K.
europepmc +1 more source
Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure [PDF]
Quantile regression(QR) fits a linear model for conditional quantiles, just as ordinary least squares (OLS) fits a linear model for conditional means. An attractive feature of OLS is that it gives the minimum mean square error linear approximation to the
Victor Chernozhukov +2 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 +2 more
wiley +1 more source
Simultaneous serotonin and dopamine monitoring across timescales by rapid pulse voltammetry with partial least squares regression. [PDF]
Anal Bioanal Chem, 2021 Movassaghi CS +7 more
europepmc +1 more source