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Bayesian identification of electromechanical properties in piezoelectric energy harvesters
(Elsevier, 2020)
The model updating of the electro-mechanical properties of Piezoelectric Energy
Harvesters (PEHs) using experimental data within a Bayesian inference setting is discussed.
The implementation requires: a predictive model ...
Machine learning modeling for the prediction of plastic properties in metallic glasses
(2023-12)
Metallic glasses are one of the most interesting mechanical materials studied in the last years, but as amorphous solids, they differ strongly from their crystalline counterparts. This matter can be addressed with the ...
Prediction of elongation at break for linear polymers
(Elsevier Science, 2014-09-26)
In this paper we present results on prediction of elongation at break (target property) for a group of 77 amorphous polymers of high molecular weight. Novel descriptors are proposed in order to better represent structural ...
Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE)
(Biomed Central Ltd, 2017-01-03)
Background: Epistasis marker effect models incorporating products of marker values as predictor variables in a linear regression approach (extended GBLUP, EGBLUP) have been assessed as potentially beneficial for genomic ...
Strategy for the prediction, control and optimizing of the functional properties of food proteins; using statistical and chemometric tools
(Elsevier, 2018)
Proteins have functional properties that govern their behavior in foods during processing, storage and consumption. Proteins can have high nutritional quality and not have functional properties suitable for incorporation ...
ESTIMATING THE DENSITY AND PULPING YIELD OF E. globulus WOOD BY DRIFT-MIR SPECTROSCOPY AND PRINCIPAL COMPONENTS REGRESSION (PCR)
(Sociedad Chilena de Química, 2003)
Prediction of heat capacity, density and freezing point of liquid refrigerant solutions using an excess Gibbs energy model
(Elsevier, 2007-12)
Immersion chilling and freezing (ICF) of foods use aqueous solutions at low temperature that are considered secondary refrigerants. These solutions contain solutes such as NaCl, CaCl2, KCl, ethanol, glucose, etc. The ICF ...
Methodology for predicting oily mixture properties in the mathematical modeling of molecular distillation
(Instituto de la Grasa, 2017-04)
A methodology for predicting the thermodynamic and transport properties of a multi-component oily mixture, in which the different mixture components are grouped into a small number of pseudo components is shown. This ...