Results 31 to 40 of about 107,324 (260)
On function-on-function regression: partial least squares approach [PDF]
Environmental and Ecological Statistics, 2020 Functional data analysis tools, such as function-on-function regression models, have received considerable attention in various scientific fields because of their observed high-dimensional and complex data structures. Several statistical procedures, including least squares, maximum likelihood, and maximum penalized likelihood, have been proposed to ...
Ufuk Beyaztas, Han Lin Shang
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Agronomía Colombiana, 2022 This study proposes a predictive model to determine the concentration of cadmium (Cd) in cocoa beans based on laser-induced breakdown spectroscopy (LIBS) and partial least squares regression (PLSR-1 or PLS-1).
Sandra Liliana Herrera Celis +3 more
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Estimation of carcass weight of Hanwoo (Korean native cattle) as a function of body measurements using statistical models and a neural network [PDF]
Asian-Australasian Journal of Animal Sciences, 2020 Objective The objective of this study was to develop a model for estimating the carcass weight of Hanwoo cattle as a function of body measurements using three different modeling approaches: i) multiple regression analysis, ii) partial least square ...
Dae-Hyun Lee +7 more
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Foods, 2020 This research studied sea bream freshness evolution through storage time in ice by determining different quality parameters and sensory profiles. Predictive models for freshness index, storage time, and microbial counts were designed from these data ...
Juan Calanche +3 more
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Fast Multiway Partial Least Squares Regression
IEEE Transactions on Biomedical Engineering, 2019 Multiway array decomposition has been successful in providing a better understanding of the structure underlying data and in discovering potentially hidden feature dependences serving high-performance decoder applications. However, the computational cost of multiway algorithms can become prohibitive, especially when considering large datasets ...
Camarrone, Flavio, Van Hulle, Marc M.
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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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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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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
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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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Misperception of Body Weight After Childhood Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Misperception of body weight can negatively impact the weight management efforts of childhood cancer survivors (CCSs). Both being overweight or underweight are associated with chronic health conditions commonly observed in CCS; therefore, accurate weight perception is critical for reducing long‐term health risks.
Fabiën N. Belle +8 more
wiley +1 more source