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

