Results 11 to 20 of about 527,772 (339)
Towards reproducibility of traditional fermented sausages: Texture profile analyses and modelling [PDF]
The aim of this study was to investigate textural characteristics of three traditional dry fermented sausages (Sremski kulen, Lemeški kulen and Petrovská klobása) manufactured in different small-scale facilities in northern Serbia, and to correlate them ...
Jokanović Marija+8 more
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Abstract Many statistical estimation techniques for high-dimensional or functional data are based on a preliminary dimension reduction step, which consists in projecting the sample X 1,...,X n onto the first D eigenvectors of the Principal Component Analysis ...
Biau, Gérard, Mas, André
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This work presents an original model for detecting machine tool anomalies and emergency states through operation data processing. The paper is focused on an elastic hierarchical system for effective data reduction and classification, which encompasses ...
Iaremko Iaroslav+3 more
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AbstractMahalanobis distance of covariate means between treatment and control groups is often adopted as a balance criterion when implementing a rerandomization strategy. However, this criterion may not work well for high‐dimensional cases because it balances all orthogonalized covariates equally.
Hengtao Zhang+2 more
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Self-attention and generative adversarial networks for algae monitoring
Water is important for the natural environment and human health. Monitoring algae concentrations yield information on the water quality. Compared with in situ measurements of water quality parameters, which are often complex and expensive, remote sensing
Nhut Hai Huynh+2 more
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Yield stability among cowpea genotypes evaluated in different environments in Uganda
Cowpea (Vigna unguiculata) is one of the important legume crops in Uganda especially in the eastern and northern regions. Its productivity in the country is, however, still low.
E. K. Mbeyagala+3 more
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SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery [PDF]
As an unsupervised dimensionality reduction method, the principal component analysis (PCA) has been widely considered as an efficient and effective preprocessing step for hyperspectral image (HSI) processing and analysis tasks.
Junjun Jiang+5 more
semanticscholar +1 more source
The aim of this work was to investigate the volatile compositions of four Chinese functional liquors. For this purpose, volatile compounds of four liquors were extracted with head-space solid-phase microextraction (HS-SPME) and analyzed with gas ...
Wang Kai+6 more
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A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU
The enormous popularity of the internet across all spheres of human life has introduced various risks of malicious attacks in the network. The activities performed over the network could be effortlessly proliferated, which has led to the emergence of ...
S. Bhattacharya+7 more
semanticscholar +1 more source
The present study aimed to evaluate the physicochemical characteristics of honey (raspberry, mint, rape, sunflower, thyme and polyfloral) produced in Romania. The honey samples were from the 2017 to 2018 harvest and were subjected to melissopalynological
Daniela Pauliuc+2 more
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