Results 1 to 10 of about 614,673 (201)

Downscaling GRACE total water storage change using partial least squares regression [PDF]

open access: yesScientific Data, 2021
Measurement(s) Gravity Technology Type(s) gravity field theory • computational modeling technique Factor Type(s) geographic location • temporal interval Sample Characteristic - Environment water body Sample Characteristic - Location global Machine ...
Bramha Dutt Vishwakarma   +2 more
doaj   +3 more sources

The pls Package: Principal Component and Partial Least Squares Regression in R [PDF]

open access: yesJournal of Statistical Software, 2007
The pls package implements principal component regression (PCR) and partial least squares regression (PLSR) in R (R Development Core Team 2006b), and is freely available from the Comprehensive R Archive Network (CRAN), licensed under the GNU General ...
Bjørn-Helge Mevik
doaj   +3 more sources

Partial Least Squares Regression Performs Well in MRI-Based Individualized Estimations [PDF]

open access: yesFrontiers in Neuroscience, 2019
Estimation of individuals’ cognitive, behavioral and demographic (CBD) variables based on MRI has attracted much research interest in the past decade, and effective machine learning techniques are of great importance for these estimations.
Chen Chen, Xuyu Cao, Lixia Tian
doaj   +3 more sources

Partial least-squares regression for soil salinity mapping in Bangladesh

open access: yesEcological Indicators, 2023
Estimating the salinity of the soil along the coast of south-western Bangladesh is the focus of this study. Thirteen soil salinity indicators were computed using the Landsat OLI images, and 241 soil salinity samples were gathered from secondary sources ...
Showmitra Kumar Sarkar   +3 more
doaj   +2 more sources

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

open access: yesGen Psychiatr, 2022
In many statistical applications, composite variables are constructed to reduce the number of variables and improve the performances of statistical analyses of these variables, especially when some of the variables are highly correlated.
Liu C   +6 more
europepmc   +2 more sources

Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables. [PDF]

open access: yesFood Chem X, 2023
Highlights • PLSR model was constructed to identify aged-rice adulteration analysis effectively.• Different preprocessing methods were utilized to improve the model accuracy.• CARS algorithm was employed to extract characteristic wavelength variables ...
Li Z   +7 more
europepmc   +2 more sources

High-concentration methane and ethane QEPAS detection employing partial least squares regression to filter out energy relaxation dependence on gas matrix composition. [PDF]

open access: yesPhotoacoustics, 2022
A quartz enhanced photoacoustic spectroscopy (QEPAS) sensor capable to detect high concentrations of methane (C1) and ethane (C2) is here reported. The hydrocarbons fingerprint region around 3 µm was exploited using an interband cascade laser (ICL).
Menduni G   +9 more
europepmc   +2 more sources

Quartz-Enhanced Photoacoustic Spectroscopy Assisted by Partial Least-Squares Regression for Multi-Gas Measurements [PDF]

open access: yesSensors, 2023
We report on the use of quartz-enhanced photoacoustic spectroscopy (QEPAS) for multi-gas detection. Photoacoustic (PA) spectra of mixtures of water (H2O), ammonia (NH3), and methane (CH4) were measured in the mid-infrared (MIR) wavelength range using a ...
Andreas N. Rasmussen   +4 more
doaj   +2 more sources

Lavender hydrosol analysis using UV spectroscopy data and partial least squares regression [PDF]

open access: yesMethodsX
The aim of our work was to estimate the composition of hydrosol produced as a byproduct of lavender steam distillation using UV–Vis spectrophotometry in the 200–600 nm wavelength range through a machine learning algorithm.
Sára Preiner   +3 more
doaj   +2 more sources

Partial Least-Squares Regression as a Tool to Retrieve Gas Concentrations in Mixtures Detected Using Quartz-Enhanced Photoacoustic Spectroscopy. [PDF]

open access: yesAnal Chem, 2020
We report on a statistical tool based on partial least-squares regression (PLSR) able to retrieve single-component concentrations in a multiple-gas mixture characterized by spectrally overlapping absorption features.
Zifarelli A   +8 more
europepmc   +2 more sources

Home - About - Disclaimer - Privacy