Results 1 to 10 of about 5,519 (170)
High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity [PDF]
Remote Sensing of Environment, 2019 Spectroscopy is becoming an increasingly powerful tool to alleviate the challenges of traditional measurements of key plant traits at the leaf, canopy, and ecosystem scales. Spectroscopic methods often rely on statistical approaches to reduce data redundancy and enhance useful prediction of physiological traits.
Christine Raines +2 more
exaly +5 more sources
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 +2 more
doaj +4 more sources
Scientia Agropecuaria, 2017 The aim of this study was to build a model to predict the beef marbling using HSI and Partial Least Squares Regression (PLSR). Totally 58 samples of longissmus dorsi muscle were scanned by a HSI system (400 - 1000 nm) in reflectance mode,
Victor Aredo +2 more
doaj +7 more sources
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 +2 more sources
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 +4 more
doaj +2 more sources
Energies, 2023 The energy-intensive steel industry, which consumes substantial amounts of electricity, meets its power demands through external electricity purchases and self-generation through the operation of its own generators. This study aimed to optimize boiler combustion efficiency and increase power generation output by deriving optimal operational values for ...
Eul-Bum Lee, So Won Choi, Lee Eul-Bum
exaly +3 more sources
Sensory characteristics and biochemical basis of small-leaf group varieties of Chinese Sichuan black tea [PDF]
Scientific ReportsThis study combined Quantitative Descriptive Analysis (QDA), PanelCheck, partial least squares regression (PLSR), partial least squares discriminant analysis (PLS-DA), and hierarchical cluster analysis to investigate the sensory quality of Sichuan small ...
Tingting Feng +5 more
doaj +2 more sources
Journal of Saudi Chemical Society, 2011 The Quantitative structure–activity relationship (QSAR) analyses were carried out for a series of imidazolinones as nonpeptide angiotensin II receptor antagonists to find out the structural requirements of their antihypertensive activities. Partial Least
Mukesh C. Sharma +3 more
doaj +2 more sources
Analytical LettersThis study presents a novel approach to accurately estimate calcium hypochlorite (CHC) concentrations in sago flour using hyperspectral imaging (HSI) and regression models. As consumers prefer pure white sago, CHC is a bleaching additive that is added to sago powder to whiten its appearance.
Agus Saptoro, Ir Dr Yeo Wan Sieng
exaly +2 more sources
PENERAPAN METODE PARTIAL LEAST SQUARE REGRESSION (PLSR) PADA KASUS SKIZOFRENIA
E-Jurnal Matematika, 2021 Partial Least Square Regression (PLSR) is a method that combines principal component analysis and multiple linear regression, which aims to predict or analyze the dependent variable and more than one independent variable. The purpose of this study is to determine the equation model for the recurrence of schizophrenia patients using the PLSR method. The
MADE SUSILAWATI +2 more
openaire +3 more sources