Near-Infrared Spectra Data Analysis
Multivariate regression methods for chemometric analysis of the near-infrared spectra
... multivariate analysis methods for deconvolution of spectra in the near- infrared region of electromagnetic radiation (NIR), measured for a three-component mixture of glucose, fructose and ...
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Local linear embedded regression in the quantitative analysis of glucose in near infrared spectra
... dimensional data (Y) by minimising the cost function (Y ) as given in equation ...mapped data are regressed against the analyte of interest to build the calibration model, which is completely identified ...
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Analysis of near infrared spectra for age grading of wild populations of Anopheles gambiae
... and data processing largely follows pre- viously published methodology ...the spectra, though note there are significant changes to protein expression and other factors with blood-feeding ...20 ...
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Principal Component Analysis of Near Infrared Spectra as a Tool of Endosperm Mutant Characterisation and in Barley Breeding for Quality
... Near Infrared Spectroscopy (NIR) combined with multivariate data analysis is an established economical, non-destructive technique (O������ et ...NIR spectra to be used directly in the ...
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Quantitative Analysis of Near-Infrared Spectra by Wavelet-based Interferences Removal and Least Squares Support Vector Regression
... the spectra and the measured property is deteriorated badly by the ...sample data, but in most cases, the limited number of sample data and the dimension reduction of spectra for computation ...
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Authentication of Antibiotics Using Portable Near-Infrared Spectroscopy and Multivariate Data Analysis
... NIR Spectra where exported into Matlab R 2018b where data analysis was ...NIR spectra of the medicines showed characteristic features corresponds to the main ...
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Quantification of simvastatin in mice plasma by near-infrared and chemometric analysis of spectral data
... chemometric analysis Chemometric analysis is a statistical model, which is per- formed using the TQ Analyst software; the required com- ponent produces measurable peaks in the NIR spectrum in a sample ...
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Authentication of Antibiotics Using Portable Near-Infrared Spectroscopy and Multivariate Data Analysis
... Portable near-infrared spectroscopy near-infrared spectroscopy offers this ...Component Analysis (PCA) and Soft Independent Modelling of Class Analogy (SIMCA) for authenticating branded ...
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Effect of agro-climatic conditions on near infrared spectra of extra virgin olive oils
... nant analysis (LDA), where the high dimensionality of the independent variables can be reduced by previously applying principal component analysis (PCA) or partial least squares ...climatic data base ...
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Application of Extended Multiplicative Signal Correction to Short Wavelength near Infrared Spectra of Moisture in Marzipan
... representative analysis of complex ...sophisticated data analysis techniques such as partial least-squares (PLS) calibration methods to obtain meaningful correlations ...
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Rapid, Non Destructive, Textile Classification Using SIMCA on Diffuse Near Infrared Reflectance Spectra
... 3. Experimental 3.1. Textile Samples Swatches of known commercially-available textiles were obtained from the Baylor University Department of Family and Consumer Science. Specimens, approximately one-inch square, were ...
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Feasibility of near infrared spectroscopy for analysis of date fruits
... a near infrared spectroscopy as a nondestructive method for discrimina- tion of date fruits according to four main ripening ...a near infrared spectra of dates were acquired in the ...
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Soil analysis using visible and near infrared spectroscopy
... for analysis and calibrations of spectral data providing easy to use functions for spectral analyses and ...measured spectra and sometimes allowing for real- time ...
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Combining Partial Least Squares and the Gradient-Boosting Method for Soil Property Retrieval Using Visible Near-Infrared Shortwave Infrared Spectra
... Remote Sens. 2017, 9, 1299 15 of 18 0.739–0.812 for clay. Both PLS and GBDT can estimate the relative contributions of input variables. However, GBDT failed in this task when directly using high-dimensional soil ...
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Column abundances of carbon dioxide and methane retrieved from ground-based near-infrared solar spectra
... 2.5 Data Analysis In this work, spectra are analyzed using a non-linear least-squares spectral fitting algorithm (GFIT) developed at the Jet Propulsion ...
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The near-infrared spectra of the alkali carbonates
... Raman active rotary lattice modes it is argued that vibration - libration combinations occur across a 291. variety of NIR wavelengths in [Li 2 CO 3 ] and [Rb 2 CO 3 ] alkali carbonate s[r] ...
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The Spectra of T Dwarfs I: Near-Infrared Data and Spectral Classification
... Marley 2001). A similarly complex transition may occur with the condensation of H 2 O at T ef f ∼ 400 K (Burrows et al. 1997), a possible endpoint to the T spectral class. In any case, the near-infrared ...
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Local linear embedded regression in the quantitative analysis of glucose in near infrared spectra
... The results show that the LLER model outperforms PCR, PLSR and SVR models without pre-processing and show that the digital bandpass filter pre-processing could improve the predi[r] ...
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Near-infrared (NIR) spectra of Centaurs and Kuiper belt objects
... Key words: infrared: solar system – Kuiper Belt – minor planets, asteroids Online-only material: supplemental data file 1. INTRODUCTION The Kuiper belt poses a unique opportunity for astronomers to peer ...
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Impact Of Near Infrared Spectra Corrections To The Prediction Performance Of Soil Macro Nutrients
... raw spectra data provide quire robust and accurate prediction ...spectra data. Smoothing was chosen as the first method to correct spectra data since this method is simply and ...
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