Determination of extra virgin olive oil in quaternary mixture using FTIR spectroscopy and multivariate calibration. [PDF]
, 2011 The purpose of this study was to optimize Fourier transform infrared (FTIR) spectroscopy in combination with multivariate calibrations (partial least square and principle component regression) for determination of extra virgin olive oil (EVOO) in ...
Abdul Rohman,, Che Man, Yaakob
core +2 more sources
Correcting the Bias of the Root Mean Squared Error of Approximation under Missing Data [PDF]
Methodology, 2018 Missing data are ubiquitous in both small and large datasets. Missing data may come about as a result of coding or computer error, participant absences, or it may be intentional, as in planned missing designs. We discuss missing data as it relates to goodness-of-fit indices in Structural Equation Modeling (SEM), specifically the effects of missing data
Von Oertzen, Timo +6 more
openaire +4 more sources
Decomposition of the mean absolute error (MAE) into systematic and unsystematic components
PLoS ONE, 2023 When evaluating the performance of quantitative models, dimensioned errors often are characterized by sums-of-squares measures such as the mean squared error (MSE) or its square root, the root mean squared error (RMSE).
S. Robeson, C. Willmott
semanticscholar +1 more source
Rapid determination of tannin in Danshen and Guanxinning injections using UV spectrophotometry for quality control [PDF]
Journal of Innovative Optical Health Sciences, 2018 A technique for the determination of tannin content in traditional Chinese medicine injections (TCMI) was developed based on ultraviolet (UV) spectroscopy.
Hongxia Huang +5 more
doaj +1 more source
Atmosphere, 2021 Wind energy is a type of renewable and clean energy which has attracted more and more attention all over the world. The Northwest China is a region with the most abundant wind energy not only in China, but also in the whole world.
Hui Ma +4 more
doaj +1 more source
Distributed Quantum Sensing Using Continuous-Variable Multipartite Entanglement
, 2018 Distributed quantum sensing uses quantum correlations between multiple sensors to enhance the measurement of unknown parameters beyond the limits of unentangled systems. We describe a sensing scheme that uses continuous-variable multipartite entanglement
Shapiro, Jeffrey H. +2 more
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An Analytical Derivation of the Signal-in-Space Root-Mean-Square User Range Error
NavigationThe concept of the signal-in-space (SIS) root-mean-square (RMS) user range error (URE) is used to evaluate the performance of multiple global navigation satellite systems (GNSSs); however, a complete analytical derivation has not been published.
Brent Renfro +5 more
doaj +1 more source
Support Vector Machine to Predict Electricity Consumption in the Energy Management Laboratory
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Predicted electricity consumption is needed to perform energy management. Electricity consumption prediction is also very important in the development of intelligent power grids and advanced electrification network information.
Azam Zamhuri Fuadi +2 more
doaj +1 more source
A weighted reduced basis method for parabolic PDEs with random data
, 2017 This work considers a weighted POD-greedy method to estimate statistical outputs parabolic PDE problems with parametrized random data. The key idea of weighted reduced basis methods is to weight the parameter-dependent error estimate according to a ...
B Haasdonk +15 more
core +1 more source
Fuzzification of quantitative data to predict tumour size of colorectal cancer [PDF]
, 2017 Regression analysis has become more popular among researchers as a standard tool in analyzing data. This paper used fuzzy linear regression model (FLRM) to predict tumour size of colorectal cancer (CRC) data in Malaysia.
Amir Hamzah, Nor Shamsidah +5 more
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