Results 1 to 10 of about 5,740 (138)

Non-Destructive Analysis of Phenolic and Flavonoid Contents in Medicinal Plant Powders Using Hyperspectral Imaging and Variable Selection. [PDF]

Anal Sci Adv
ABSTRACT Phenolic and flavonoid contents in medicinal plants are essential to their growth and development and provide numerous health benefits, yet their quantification using traditional wet chemistry is labor‐intensive and time‐consuming. This study utilized the combination of two benchtop hyperspectral imaging (HSI) systems, namely short‐wave ...
Joshi R, Kholiya S, Pandey H, Singh M, Tiwari A, Lim J, Sathasivam R, Faqeerzada MA, Park SU, Cho BK.   +9 more
europepmc   +2 more sources

The response of water balance components to land cover change based on hydrologic modeling and partial least squares regression (PLSR) analysis in the Upper Awash Basin

Journal of Hydrology: Regional Studies, 2019
Study region: Upper Awash basin at the headwater of Awash River. Study focus: Comprehensive assessment of land cover (LC) change effect on the water balance components using integrated approaches of hydrologic modeling and partial least squares ...
Alemayehu A. Shawul, Sumedha Chakma, Assefa M. Melesse   +2 more
doaj   +3 more sources

Total monomeric anthocyanin concentration estimation of red wines based on color data using multivariate statistical analysis and machine learning. [PDF]

J Sci Food Agric
Abstract BACKGROUND Red wine is a high‐value grape derivative containing complex chemical compounds that dictate its quality. Qualitative and quantitative determination of these compounds is essential for standardizing and classifying the product. This proof‐of‐concept study integrates chemometric methods and machine learning algorithms to establish ...
Atlayan E, Berk B, Unluturk S.
europepmc   +2 more sources

High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity. [PDF]

Remote Sens Environ, 2019
Meacham-Hensold K, Montes CM, Wu J, Guan K, Fu P, Ainsworth EA, Pederson T, Moore CE, Brown KL, Raines C, Bernacchi CJ.   +10 more
europepmc   +2 more sources

Identification of Browning in Human Adipocytes by Partial Least Squares Regression (PLSR), Infrared Spectral Biomarkers, and Partial Least Squares Discriminant Analysis (PLS-DA) Using FTIR Spectroscopy

Photonics, 2022
We aimed to identify the browning of white adipocytes using partial least squares regression (PLSR), infrared spectral biomarkers, and partial least squares discriminant analysis (PLS-DA) with FTIR spectroscopy instead of molecular biology.
Dong-Hyun Shon, Se-Jun Park, Suk-Jun Yoon, Yang-Hwan Ryu, Yong Ko   +4 more
doaj   +1 more source

Comparison between use of the Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) in the factors influencing cement expansion [PDF]

مجلة التربية والعلم, 2012
In this research, Two methods are used: Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) to build a model for autoclave cement on factors influnce on it.
Elham Hussein
doaj   +1 more source

Electrospun nanofiber membrane diameter prediction using a combined response surface methodology and machine learning approach

Scientific Reports, 2023
Despite the widespread interest in electrospinning technology, very few simulation studies have been conducted. Thus, the current research produced a system for providing a sustainable and effective electrospinning process by combining the design of ...
Md. Nahid Pervez, Wan Sieng Yeo, Mst. Monira Rahman Mishu, Md. Eman Talukder, Hridoy Roy, Md. Shahinoor Islam, Yaping Zhao, Yingjie Cai, George K. Stylios, Vincenzo Naddeo   +9 more
doaj   +1 more source

Noise Handling Capabilities of Multivariate Calibration Methods [PDF]

Modeling, Identification and Control, 2002
The noise handling capabilities of principal component regression (PCR) and partial least squares regression (PLSR) are somewhat disputed issues, especially regarding regressor noise.
Rolf Ergon
doaj   +1 more source

Dynamic system multivariate calibration by system identification methods [PDF]

Modeling, Identification and Control, 1998
In the first part of the paper, the optimal estimator for normally nonmeasured primary outputs from a linear and time invariant dynamic system is developed.
Rolf Ergon
doaj   +1 more source

Rapid Determination of Geniposide and Baicalin in Lanqin Oral Solution by Near-Infrared Spectroscopy with Chemometric Algorithms during Alcohol Precipitation

Molecules, 2022
The selection of key variables is an important step that improves the prediction performance of a near-infrared (NIR) real-time monitoring system.
Hui Ma, Ming Chen, Siyu Zhang, Hongye Pan, Yong Chen, Yongjiang Wu   +5 more
doaj   +1 more source