Keywords: رگرسیون خطی چندگانه (MLR); Fluoride hydrogeochemistry; Geochemical processes; Multiple linear regression (MLR); Dwarka River basin; India;
مقالات ISI رگرسیون خطی چندگانه (MLR) (ترجمه نشده)
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Keywords: رگرسیون خطی چندگانه (MLR); Mixed geographically weighted regression (MGWR); Geographically weighted regression (GWR); Multiple linear regression (MLR); Soil organic matter concentration (SOM);
Keywords: رگرسیون خطی چندگانه (MLR); Hydroxyl radical; Reaction rate constants; Quantitative structure-activity relationship; Temperature dependence; Multiple linear regression (MLR);
Keywords: رگرسیون خطی چندگانه (MLR); QSAR; Multiple linear regression (MLR); Support vector machine (SVM); Toxicity; Ionic liquids;
A GIS-statistical approach for assessing built environment energy use at urban scale
Keywords: رگرسیون خطی چندگانه (MLR); Urban Energy Modelling (UEM); Multiple Linear Regression (MLR); Geographic Information System (GIS); Spatial Decision Support System (SDSS);
QSAR studies of the bioactivity of hepatitis C virus (HCV) NS3/4A protease inhibitors by multiple linear regression (MLR) and support vector machine (SVM)
Keywords: رگرسیون خطی چندگانه (MLR); Hepatitis C virus (HCV) NS3/4A protease inhibitors; Quantitative structure-activity relationship (QSAR); Kohonen's self-organizing map (SOM); Multiple linear regression (MLR); Support vector machine (SVM); Sub-dataset analysis;
Determination of mineralogical composition of spent fluorescent powders by coupling ICP-spectroscopy and electronic microprobe analyses
Keywords: رگرسیون خطی چندگانه (MLR); Fluorescent powders; Inductively coupled plasma spectroscopy (ICP); Mineralogical analyses; Electronic microprobe (EMA); Multiple linear regression (MLR); Principal component analysis (PCA);
Combined computational-experimental approach to predict blood-brain barrier (BBB) permeation based on “green” salting-out thin layer chromatography supported by simple molecular descriptors
Keywords: رگرسیون خطی چندگانه (MLR); Blood -brain barrier (BBB); Salting-out thin layer chromatography (SOTLC); Multiple linear regression (MLR); Orthogonal partial least squares (OPLS); Partial least-squares (PLS);
QSAR study and molecular docking of benzimidazole derivatives as potent activators of AMP-activated protein kinase
Keywords: رگرسیون خطی چندگانه (MLR); REA (relative enzyme activity); Benzimidazole derivatives; Quantitative structure-activity relationship (QSAR); Multiple linear regression (MLR); Neural network (NN); Molecular docking;
Development of SVR-based model and comparative analysis with MLR and ANN models for predicting the sorption capacity of Cr(VI)
Keywords: رگرسیون خطی چندگانه (MLR); Biosorption; Low cost biosorbent; Support vector regression (SVR); Multiple linear regression (MLR); Artificial neural networks (ANN); Heavy metals removal;
Development of a multi-variate calibration approach for quantitative analysis of oxidation resistant Mo–Si–B coatings using laser ablation inductively coupled plasma mass spectrometry
Keywords: رگرسیون خطی چندگانه (MLR); LA-ICP-MS; Quantification; Multiple linear regression (MLR); Coating analysis
Prediction of viscosity of imidazolium-based ionic liquids using MLR and SVM algorithms
Keywords: رگرسیون خطی چندگانه (MLR); Ionic liquids; Viscosity; Support vector machine (SVM); Multiple linear regression (MLR); Fragment contribution-corresponding states (FC-CS) method;
In silico model for predicting soil organic carbon normalized sorption coefficient (KOC) of organic chemicals
Keywords: رگرسیون خطی چندگانه (MLR); Soil organic carbon normalized sorption coefficient (KOC); Quantitative structure-activity relationship (QSAR); Multiple linear regression (MLR); Predictive ability;
Blood–brain barrier permeability mechanisms in view of quantitative structure–activity relationships (QSAR)
Keywords: رگرسیون خطی چندگانه (MLR); Blood–brain barrier; Quantitative structure–activity relationships (QSAR); Molecular descriptors; Multiple linear regression (MLR); Log PAD, applicability of domain; BBB, blood–brain barrier; CNS, central nervous system; Ecor, energy of core–core interact
The interaction between organic phosphate ester and p53: An integrated experimental and in silico approach
Keywords: رگرسیون خطی چندگانه (MLR); Organophosphate flame retardants (OPFRs); p53; Docking; Quantitative structure-activity relationship (QSAR); Binding affinity; Multiple linear regression (MLR);
The application of Artificial Neural Network (ANN) model to the simulation of denitrification rates in mesocosm-scale wetlands
Keywords: رگرسیون خطی چندگانه (MLR); Denitrification; Constructed wetlands; Artificial neural network (ANN); Multiple linear regression (MLR); Simplified mechanistic model;
Hybrid intelligent systems for predicting software reliability
Keywords: رگرسیون خطی چندگانه (MLR); Software reliability; Multiple Linear Regression (MLR); Multivariate Adaptive Regression Splines (MARS); Back Propagation Neural Network (BPNN); Counter Propagation Neural Network (CPNN); Dynamic Evolving Neuro-Fuzzy Inference System (DENFIS); TreeNet; Gr
Towards better understanding of feature-selection or reduction techniques for Quantitative Structure–Activity Relationship models
Keywords: رگرسیون خطی چندگانه (MLR); Aldose-reductase inhibitor; Biological activity; Biological property; Feature reduction; Feature selection; Molecular descriptor; Multiple Linear Regression (MLR); Partial Least Squares (PLS); Quantitative Structure–Activity Relationship (QSAR); Rho kinas
The successive projections algorithm
Keywords: رگرسیون خطی چندگانه (MLR); Calibration transfer; Classification; Linear Discriminant Analysis (LDA); Multiple Linear Regression (MLR); Multivariate calibration; Quantitative Structure-Activity Relationship (QSAR); Quantitative Structure-Property Relationship (QSPR); Sample selectio
A comparative QSAR analysis and molecular docking studies of quinazoline derivatives as tyrosine kinase (EGFR) inhibitors: A rational approach to anticancer drug design
Keywords: رگرسیون خطی چندگانه (MLR); Protein tyrosine kinase (EGFR); Multiple linear regression (MLR); Principal component regression (PCR); Partial least squares (PLS); kNN-MFA; Molecular docking
Principal component analysis (PCA) and multiple linear regression (MLR) statistical tools to evaluate the effect of E-beam irradiation on ready-to-eat food
Keywords: رگرسیون خطی چندگانه (MLR); RTE food; E-beam irradiation; Chemometric tools; Principal component analysis (PCA); Multiple linear regression (MLR); Food analysis; Food composition
Multivariate analysis of nitrogen content for rice at the heading stage using reflectance of airborne hyperspectral remote sensing
Keywords: رگرسیون خطی چندگانه (MLR); Airborne hyperspectral remote sensing; Nitrogen content; Heading stage; Multiple linear regression (MLR); Partial least square regression (PLSR)
A heuristic approach to predicting water beetle diversity in temporary and fluctuating waters
Keywords: رگرسیون خطی چندگانه (MLR); Artificial neural network (ANN); Generalised additive model (GAM); Multiple linear regression (MLR); Physicochemistry; Species diversity; Macroinvertebrates
Adsorption behaviors of volatile organic compounds (VOCs) on porous clay heterostructures (PCH)
Keywords: رگرسیون خطی چندگانه (MLR); Porous clay heterostructures (PCHs); Volatile organic compounds (VOCs); Adsorption; Multiple linear regression (MLR);
Shortwave-near infrared spectroscopy for determination of reducing sugar content during grape ripening, winemaking, and aging of white and red wines
Keywords: رگرسیون خطی چندگانه (MLR); NIR spectroscopy; Grape; Must; Wine; Reducing sugar content; Fingerprint spectra; Partial least squares (PLS); Multiple linear regression (MLR)
A comparison of two models with Landsat data for estimating above ground grassland biomass in Inner Mongolia, China
Keywords: رگرسیون خطی چندگانه (MLR); Grassland aboveground dry biomass; Inner Mongolia; Landsat ETM+; Artificial neural network (ANN); Multiple linear regression (MLR);
Determination of the optimal parameters in regression models for the prediction of chlorophyll-a: A case study of the Yeongsan Reservoir, Korea
Keywords: رگرسیون خطی چندگانه (MLR); Principal Component Regression (PCR); Multiple Linear Regression (MLR); F-overall statistics; Optimal parameters; Chlorophyll-a Prediction; Uncertainty
Validated quantitative structure-activity relationship analysis of a series of 2-aminothiazole based p56Lck inhibitors
Keywords: رگرسیون خطی چندگانه (MLR); Lymphocyte-specific kinase (LCK); Genetic algorithm (GA); Multiple linear regression (MLR); Quantitative structure-activity relationship (QSAR);
A Bayesian hierarchical model for urban air quality prediction under uncertainty
Keywords: رگرسیون خطی چندگانه (MLR); Bayesian hierarchical model; Markov Chain Monte Carlo (MCMC); Urban air quality; Multiple linear regression (MLR)
Prediction of heating value of straw by proximate data, and near infrared spectroscopy
Keywords: رگرسیون خطی چندگانه (MLR); Near infrared spectroscopy (NIRS); Multiple linear regression (MLR); Heating value; Proximate analysis; Straw
Explorations into modeling human oral bioavailability
Keywords: رگرسیون خطی چندگانه (MLR); Quantitative structure–activity relationships (QSAR); Bioavailability; Multiple linear regression (MLR); Leave-one-out cross-validation; Kohonen's self-organizing Neural Network (KohNN)
Nondestructive measurement and fingerprint analysis of soluble solid content of tea soft drink based on Vis/NIR spectroscopy
Keywords: رگرسیون خطی چندگانه (MLR); Vis/NIR spectroscopy; Measurement; Partial least squares (PLS); Multiple linear regression (MLR); Soluble solid content (SSC); Tea soft drink; Fingerprint spectra
Quantitative structure–activity relationship study of acyl ureas as inhibitors of human liver glycogen phosphorylase using least squares support vector machines
Keywords: رگرسیون خطی چندگانه (MLR); Quantitative structure–activity relationship (QSAR); Human liver glycogen phosphorylase a (hlGPa); Multiple linear regression (MLR); Least squares support vector machines (LS-SVMs)
Quantitative structure–activity relationship (QSAR) of tacrine derivatives against acetylcholinesterase (AChE) activity using variable selections
Keywords: رگرسیون خطی چندگانه (MLR); Tacrine; Multiple linear regression (MLR); RV criterion; Quantitative structure–activity relationship (QSAR); Acetylcholinesterase (AChE)
Prediction of consumer liking from trained sensory panel information: Evaluation of neural networks
Keywords: رگرسیون خطی چندگانه (MLR); Consumer liking; QDA; Beef flavours; Multiple linear regression (MLR); Principal component regression (PCR); Partial least squares (PLS); Artificial neural networks (ANN)
Application of support vector machine (SVM) for prediction toxic activity of different data sets
Keywords: رگرسیون خطی چندگانه (MLR); Quantitative structure–activity relationship (QSAR); Toxicity; Multiple linear regression (MLR); Radical basis function neural network (RBF); Support vector machine (SVM)
Preliminary study of the retention behavior for different compounds using cryogenic chromatography at different initial temperatures
Keywords: رگرسیون خطی چندگانه (MLR); Cryogenic chromatography; Kováts indices; Multiple linear regression (MLR);