Results 41 to 50 of about 112,882 (301)
Marginal Screening for Partial Least Squares Regression
IEEE Access, 2017 Partial least squares (PLS) regression is a versatile modeling approach for high-dimensional data analysis. Recently, PLS-based variable selection has attracted great attention due to high-throughput data reduction and modeling interpretability. In this paper, a class of variable selection methods for PLS, which employs marginal screening approaches to
Naifei Zhao +2 more
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, 2013 This paper studied two different regression techniques for pelvic shape prediction, i.e., the partial least square regression (PLSR) and the principal component regression (PCR).
Schumann, Steffen +2 more
core +1 more source
The Performances of Hyperspectral Sensors for Proximal Sensing of Nitrogen Levels in Wheat
Sensors, 2020 The accurate and high throughput quantification of nitrogen (N) content in wheat using non-destructive methods is an important step towards identifying wheat lines with high nitrogen use efficiency and informing agronomic management practices.
Huajian Liu +3 more
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Chemometric and QSAR analysis of some thiadiazines as potential antifungal agents [PDF]
Acta Periodica Technologica, 2017 Quantitative structure-activity relationship (QSAR) analysis has been performed in order to predict the antifungal activity of dihydroindeno and indeno thiadiazines against toxigenic fungus Aspergillus flavus.
Karadžić Milica Ž. +3 more
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Modeling Significant Wave Heights for Multiple Time Horizons Using Metaheuristic Regression Methods
Mathematics, 2023 The study examines the applicability of six metaheuristic regression techniques—M5 model tree (M5RT), multivariate adaptive regression spline (MARS), principal component regression (PCR), random forest (RF), partial least square regression (PLSR) and ...
Rana Muhammad Adnan Ikram +5 more
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Deep partial least squares for instrumental variable regression
Applied Stochastic Models in Business and Industry, 2023 AbstractIn this paper, we propose deep partial least squares for the estimation of high‐dimensional nonlinear instrumental variable regression. As a precursor to a flexible deep neural network architecture, our methodology uses partial least squares for dimension reduction and feature selection from the set of instruments and covariates.
Maria Nareklishvili +2 more
openaire +3 more sources
Open Agriculture, 2023 Visible–shortwave near-infrared spectroscopy has been used for internal quality measurement, but the optical penetration to the thickness of fruit skin becomes a challenge.
Pratiwi Evia Zunita D. +4 more
doaj +1 more source
, 2022 ABSTRAK PEMODELAN PERTUMBUHAN EKONOMI DI SUMATERA BAGIAN SELATAN MENGGUNAKAN PARTIAL LEAST SQUARE REGRESSION (PLSR) Oleh: SEKAR DWI HAFIDHOH F1F017015 Produk Domestik Regional Bruto (PDRB) merupakan salah satu indikator dalam menilai hasil ...
Herlin, Fransiska +2 more
core +1 more source
FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source