Genome Mining in Glass Chemistry Using Linear Component Analysis of Ion Conductivity Data.
Sign Up to like & getrecommendations! Published in 2023 at "Advanced science"
DOI: 10.1002/advs.202301435
Abstract: Understanding the multivariate origin of physical properties is particularly complex for polyionic glasses. As a concept, the term genome has been used to describe the entirety of structure-property relations in solid materials, based on functional… read more here.
Keywords: linear component; chemistry; conductivity; genome ... See more keywords
Application of independent component analysis with semi‐supervised Laplacian regularization kernel density estimation
Sign Up to like & getrecommendations! Published in 2018 at "Canadian Journal of Chemical Engineering"
DOI: 10.1002/cjce.23067
Abstract: In this study, fault detection and fault reconstruction methods are developed using matrix factorization of component vectors obtained with independent component analysis (ICA). Two monitoring statistics are used for fault detection in a detailed analysis… read more here.
Keywords: fault; independent component; semi supervised; analysis ... See more keywords
Evaluation of principal component analysis image denoising on multi‐exponential MRI relaxometry
Sign Up to like & getrecommendations! Published in 2019 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27658
Abstract: Multi‐exponential relaxometry is a powerful tool for characterizing tissue, but generally requires high image signal‐to‐noise ratio (SNR). This work evaluates the use of principal‐component‐analysis (PCA) denoising to mitigate these SNR demands and improve the precision… read more here.
Keywords: multi exponential; image; principal component; relaxometry ... See more keywords
Principal component analysis of hybrid functional and vector data.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9117
Abstract: We propose a practical principal component analysis (PCA) framework that provides a nonparametric means of simultaneously reducing the dimensions of and modeling functional and vector (multivariate) data. We first introduce a Hilbert space that combines… read more here.
Keywords: vector; hybrid functional; principal component; vector data ... See more keywords
Sparse common component analysis for multiple high-dimensional datasets via noncentered principal component analysis
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Papers"
DOI: 10.1007/s00362-018-1045-6
Abstract: There is currently much discussion about the analysis of multiple datasets from different groups, among which especially identifying a common basic structure of multiple groups has drawn a large amount of attention. In order to… read more here.
Keywords: common component; sparse common; analysis; cca ... See more keywords
Random permutation principal component analysis for cancelable biometric recognition
Sign Up to like & getrecommendations! Published in 2017 at "Applied Intelligence"
DOI: 10.1007/s10489-017-1117-7
Abstract: Although biometrics is being increasingly used across the world, it also raises concerns over privacy and security of the enrolled identities. This is due to the fact that biometrics are not cancelable and if compromised… read more here.
Keywords: principal component; cancelable biometric; biometrics; random permutation ... See more keywords
Principal component analysis based on block-norm minimization
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1382-0
Abstract: Principal Component Analysis (PCA) has attracted considerable interest for years in the studies of image recognition. So far, several state-of-the-art PCA-based robust feature extraction techniques have been proposed, such as PCA-L1 and R1-PCA. Since those… read more here.
Keywords: block; principal component; pca; block norm ... See more keywords
MWRSPCA: online fault monitoring based on moving window recursive sparse principal component analysis
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-020-01721-8
Abstract: This paper proposes a moving window recursive sparse principal component analysis (MWRSPCA)-based online fault monitoring scheme, aim at providing an online fault monitoring solution for large-scale complex industrial processes (e.g., chemical industry processes) with time-varying… read more here.
Keywords: fault; sparse principal; principal component; monitoring ... See more keywords
Principal component analysis for automated classification of 2D spectra and interferograms of protein therapeutics: influence of noise, reconstruction details, and data preparation.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of biomolecular NMR"
DOI: 10.1007/s10858-020-00332-y
Abstract: Protein therapeutics have numerous critical quality attributes (CQA) that must be evaluated to ensure safety and efficacy, including the requirement to adopt and retain the correct three-dimensional fold without forming unintended aggregates. Therefore, the ability… read more here.
Keywords: component analysis; protein therapeutics; principal component; analysis ... See more keywords
Image classification based on principal component analysis optimized generative adversarial networks
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-10137-8
Abstract: Recently, the generative adversarial networks(GAN) has been widely used in various fields of machine learning. It avoids the complicated solving process of the original generation model while ensuring the generation effect. However, since the inputs… read more here.
Keywords: generative adversarial; adversarial networks; principal component; image classification ... See more keywords
Principal component analysis of breeding values for birth weight milk and reproductive traits of the Egyptian buffalo
Sign Up to like & getrecommendations! Published in 2021 at "Tropical Animal Health and Production"
DOI: 10.1007/s11250-021-02625-2
Abstract: This study was conducted to estimate the genetic parameters and breeding values for birth weight (BW) and reproductive and milk traits of the Egyptian buffalo. Moreover, the relationship among the estimated breeding values was analyzed… read more here.
Keywords: milk; principal component; buffalo; egyptian buffalo ... See more keywords