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نهمین سمینار ملی دوسالانه کمومتریکس ایران
سال:1402 - دوره:9 - نهمین سمينار ملی دوسالانه کمومتريکس ايران - کد همایش: 02230-81220
a brief overview of the application of chemometrics in industry with an emphasis on sensors
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a comparative analysis of univariate regression models using the simulated exponential dataset
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a comparative kinetic study on electro-chemical decolorization of some dyes in mixtures: multivariate hard modelling technique
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a comparative study of the phytochemical profile of green tea during various brewingtimes using machine learning methods
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a miniaturized low-cost sniffing device based on chemometrics analysis an array offluorescent carbon quantum dots and metallic nanoclusters for early detection ofleukemia in adults
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a new optical sensor array platform based on nanozyme: classification and determination of purine bases
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a novel study of ph-dependent optical properties of a water-soluble pnpg-peg as a conjugated polymer nanoparticle to easy detection of dopamine: applying mcr-als method
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a study on permutation test strategies in asca
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adme and pass prediction studies of six different schiff bases of cinnamaldehyde derivatives
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advanced chemometrics-driven screening approach for orange juice authenticationusing dual handheld nir spectrometers
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alternating conditional expectation (ace) algorithm for robust regression analysis ofsimulated dataset in the presence of homoscedastic and heteroscedastic noise
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alternating conditional expectation (ace) algorithm for robust regression analysis ofsimulated dataset in the presence of outliers
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an innovative approach for authentication of white rice using vis-nir hyperspectral imagingcoupled with multivariate curve resolution and classification techniques
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an integrated paper-based optical tongue/nose device combined with chemometricsmethods for identification of fermentation degree and aerial parts of iranian tea
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application of the alternating conditional expectation (ace) algorithm for the determination of oxygenate compounds in gasoline samples using atr-ftir spectroscopy
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authentication and classification of black tea from narrow-geographic origins based on thecombination of uv-vis fingerprinting and chemometric methods
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bbd design for optimization of the fabrication a selective nano-electrochemical flexible carbon cloth sensor assembled by aucds imprinted by polydopamine to orlistat accurate repeatable detection
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carbon-based nano fluids; a theoretical study using quantitative structure-propertyrelationships
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chemometrics in food authentication
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chemometrics-based gc/ms analysis of black tea volatiles from different regions of iran
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chemotaxonomic survey of fatty acids in littoral algae from the persian gulf: applicationof machine learning for characterization of algae
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classification, qsar analysis and molecular docking of some α-naphthoflavonederivatives as potent cyp1b1 inhibitors
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comparative study of random forest and decision trees in the modeling ofmethylene blue adsorption
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comparative study of response surface methodology and generalized regression artificial neural network in the optimization of ofloxacin degradation
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comparison between univariate and multivariate methods in regression analysis ofsensor arrays
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comparison of ga-mlr and pso-anfis methods in qsar study of some derivatives of tricyclic pyridobenzo and di-pyrido-di-azepinones as hiv-1 inhibitors
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dd-simca one-class modeling of blue ballpoint pen inks using hyperspectral imaging:forensic analysis of questioned documents
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design and evaluation of novel small molecule activators for ampk: an in-silico approach
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development and optimization of microwave-assisted extraction of satureja bachtiaricabunge. essential oil using response surface methodology and its comparison withtraditional method
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development of colorimetric sensor array based on metal ion complexes fordiscrimination and adulteration detection of lime juice samples
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dft study and nbo analysis on conformers of 1,3,2-dithiaphosphane -2-sulfide derivatives
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discrimination of bottled mineral waters using dip-type colorimetric paper-basedsensor array and pattern recognition methods
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enhanced data point importance for efficient data splitting in classificationmodels: application to olive oil authentication
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enhanced data point importance for subset selection in partial least square regression:a comparative study with kennard-stone method
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enhanced data point importance for variable selection multivariate calibration models
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enhancing pesticide residue quantification in honey through integrated chemo-physical and chemometric separation using lc-ms spectrometry: comparison with multiple reaction monitoring
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general structure-activity relationship patterns for the ligands of cyclin-dependent kinasesas tools for virtual screening of pubchem database
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harnessing self-organizing maps algorithm: classification of nuclear magnetic resonancespectra for untargeted metabolomics of breast cancer
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highly efficient ph-responsive ag @ chitosan core shell nano particles for drug delivery and anti-human breast cancer properties
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hyperspectral imaging combined with multivariate curve resolution for quantitation and homogeneity exploration of active pharmaceutical ingredient in pharmaceutical products
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identification of bace1 inhibitors for alzheimer's disease using molecular docking method
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improving the co-removal efficiency of dyes from water by a novel four-componentchitosan flexible film containing graphene oxide
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integrating second-order calibration with analytical quality by design (aqbd) foruniversal calibration in pharmaceutical analysis
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investigating the potential of anti -inflammatory properties of fluphenazine by using statistical model of molecular docking and its application for drug design
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machine learning for characterization of the phytochemical profile of black tea duringdifferent infusion time
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modeling quantitative structure-property relationships to predict the environmental properties of some iodinated organic compounds
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molecular docking and receptor-based qsar studies on inhibitors of parp-1 as a potential target for cancer therapy
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molecular docking of the natural phenolic acids with cdk1 in cervical cancer
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multivariate curve resolution as a pretreatment step in multivariate analysis of variance
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multivariate optimization and characterization of removal of entacapone drugusing copper zinc cobalt ferrite nanoparticles modified by cetyltrimethylammoniumbromide (cu0.3zn0.3co0.4fe2o4@ctab)
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mutual information map for unraveling the independence of solutions in the area offeasible solutions for three-component systems
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nano n-tio2-p25@ech@zro2-so3h: a novel heterogeneous semiconductor photocatalyst with so3h function, effective in removing colored pollutants from aqueous solutions
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non-parametric class modeling using multivariate curve resolution methods
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optimal experimental design for enhancing efficiency and accuracy of indicator displacement assay sensor arrays
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optimized fabrication of chitosan-hydroxy apatite (hap/cs) nano hybrid for removal of nitrite from water samples
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optimizing of the production process of dinitropentamethylenetetramine (dpt) usingcentral composite design (ccd) of experiments
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partial least squares-discriminant analysis (pls-da) for classification of crude oil samplesbased on sulfur content using atr-ftir spectroscopy
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pattern recognition with supervised artificial neural networks coupled with discretewavelet transforms for opioid discrimination using the colorimetric sensor array
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prediction of the soil organic carbon to water distribution coefficients parameter forsome neutral organic compounds from the theoretical derived molecular descriptorsand qspr modeling
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rank annihilation factor analysis method for kinetic-spectrophotometric measurement of morphine in unknown opiate samples mixture
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rapid authentication and classification of grape seed oil using fluorescence spectroscopy combined with sparse classification and regression methods
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second-order calibration for quantification of food colorants in complex samples: anuniversal calibration approach
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slice-based multivariate calibration strategy for quantification of polycyclic aromatichydrocarbons in oil fractions by means of gc×gc-tofms
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smartphone magic: classifying rice samples with rgb images and chemometrics
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source identification in crude oil samples by a couple of colorimetric paper-based e-nose and chemometrics data analysis techniques
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studying the kinetic profiles of the simultaneous release of metformin-sitagliptin drugs as a combination drug from the polymer substrate by mcr-als method
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synthesis and characterization of g-cn/rgo photocatalyst for waste water ciprofloxacin;generalized regression neural network and surface response methodology study
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synthesis and performance evaluation of zeolitic imidazolate metal-organicframework hybrid nanocomposite based on carbon nanotubes for determination ofdiclofenac in food and biological samples
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three-dimensional quantitative structure activity relationship, molecular docking and molecular dynamics of imidazo[4,5-b] pyridine derivatives as pde inhibitors
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trace determination of vitamins b3 in food samples based ongraphene oxide - cobalt ferrite nanocomposite and antibacterial assay
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untargeted metabolic profiling of volatile compounds of grape seed oil using gaschromatography coupled with mass spectrometry
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unveiling the power of handheld vis-nir spectroscopy and chemometrics for honey authentication
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