Keywords: رگرسیون اجزای اصلی; Learning analytics; Early warning systems; Undergraduate education; Prediction modelling; BART; Bayesian Additive Regressive Trees; RF; Random Forests; PCR; Principal Components Regression; Splines; Multivariate Adaptive Regression Splines; KNN; K-Nearest
مقالات ISI رگرسیون اجزای اصلی (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Use of continuous wavelet transform approach for simultaneous quantitative determination of multicomponent mixture by UV-Vis spectrophotometry
Keywords: رگرسیون اجزای اصلی; Spectrophotometry; Multicomponent measurement; Continuous wavelet transform; Derivative transform; Partial least squares regression; Principal components regression;
A hybrid model for PM2.5 forecasting based on ensemble empirical mode decomposition and a general regression neural network
Keywords: رگرسیون اجزای اصلی; EMD; empirical mode decomposition; EEMD; ensemble empirical mode decomposition; IMFs; intrinsic mode functions; MLR; multiple linear regression; PCR; principal components regression; ARIMA; autoregressive integrated moving average; ANN; artificial neural
Voxelwise gene-wide association study (vGeneWAS): Multivariate gene-based association testing in 731 elderly subjects
Keywords: رگرسیون اجزای اصلی; Principal components regression; Voxelwise; Multivariate; Gene-based; GWAS; GAB2;
Near-infrared spectroscopy quantitative determination of Pefloxacin mesylate concentration in pharmaceuticals by using partial least squares and principal component regression multivariate calibration
Keywords: رگرسیون اجزای اصلی; Near-infrared spectroscopy; Partial least squares; Principal components regression; Pefloxacin mesylate
Multi-element and mineralogical analysis of mineral ores using laser induced breakdown spectroscopy and chemometric analysis
Keywords: رگرسیون اجزای اصلی; Laser induced breakdown spectroscopy; Principal components analysis; Principal components regression; Optical emission; Ablation plasma
A principal component regression approach to simulate the bed-evolution of reservoirs
Keywords: رگرسیون اجزای اصلی; Reservoir sedimentation; Spatio-temporal bed-evolution; Numerical simulation; Multivariate regression; Principal components regression
Noncontact analysis of the fiber weight per unit area in prepreg by near-infrared spectroscopy
Keywords: رگرسیون اجزای اصلی; Fiber weight per unit area; Near-infrared spectroscopy; Partial least squares; Principal components regression;
Multi-element analysis of iron ore pellets by Laser-induced Breakdown Spectroscopy and Principal Components Regression
Keywords: رگرسیون اجزای اصلی; Laser-induced Breakdown Spectroscopy; Principal components analysis; Principal Components Regression; Iron ore
Exploration of linear multivariate calibration techniques to predict the total antioxidant capacity of green tea from chromatographic fingerprints
Keywords: رگرسیون اجزای اصلی; Fingerprints; Green tea; Multivariate calibration; Stepwise multiple linear regression; Principal components regression; Partial least squares
Soil and habitat complexity effects on movement of the entomopathogenic nematode Steinernema carpocapsae in maize
Keywords: رگرسیون اجزای اصلی; Steinernema carpocapsae; Conservation biological control; Dispersal; Entomopathogenic nematode; Refuges; Redundancy analysis; Principal components regression;
FTIR analysis and monitoring of synthetic aviation engine oils
Keywords: رگرسیون اجزای اصلی; Synthetic turbine engine oil; Infrared spectroscopy; Principal components regression; Partial least squares; Total acid number; Antioxidants; 2D IR correlation spectroscopy
Robustness of models developed by multivariate calibration. Part II: The influence of pre-processing methods
Keywords: رگرسیون اجزای اصلی; Multivariate calibration; NIR spectroscopy; Orthogonal projection; Pre-processing methods; Robustness; Variable selection; Capital bold characters will be used for matrices (e.g., X); small bold characters for column vectors (e.g., xj will denote the jth