Search results for "Principal Component Analysi"

showing 10 items of 489 documents

Feature selection with Ant Colony Optimization and its applications for pattern recognition in space imagery

2016

This paper presents a feature selection (FS) algorithm using Ant Colony Optimization (ACO). It is inspired by the particular behavior of real ants, namely by the fact that they are capable of finding the shortest path between a food source and the nest. There are considered two ACO-FS model applications for pattern recognition in remote sensing imagery: ACO Band Selection (ACO-BS) and ACO Training Label Purification (ACO-TLP). The ACO-BS reduces dimensionality of an input multispectral image data by selecting the “best” subset of bands to accomplish the classification task. The ACO-TLP selects the most informative training samples from a given set of labeled vectors in order to optimize the…

Computer sciencebusiness.industryAnt colony optimization algorithmsMultispectral imageFeature selectionPattern recognition02 engineering and technologyStatistical classification020204 information systemsPrincipal component analysisShortest path problem0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessClassifier (UML)Curse of dimensionality2016 International Conference on Communications (COMM)
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Use of linear discriminant analysis applied to vibrational spectroscopy data to characterize commercial varnishes employed for art purposes.

2007

An improvement of methodologies for characterising synthetic resins used in varnishes employed for art purposes has been suggested. Several kinds of standard of the most common polymeric resins (acrylic, vinyl, poly(vinyl alcohol), alkyd, cellulose nitrate, latex, polyester, polyurethane, epoxy, organosilicic, and ketonic) were analyzed by Fourier transform infrared (FTIR) spectroscopy. Synthetic resins characterization is based on the mathematical treatment of their whole spectrum, dividing it in 13 sections, avoiding the one-by-one interpretation of the absorption bands. The mathematical model takes as variables the maximal absorbance of each section, and each synthetic standard resin as …

Synthetic resinChemistryAlkydVarnishAnalytical chemistryEpoxyLinear discriminant analysisBiochemistryFourier transform spectroscopyAnalytical ChemistryChemometricsvisual_artPrincipal component analysisvisual_art.visual_art_mediumEnvironmental ChemistryBiological systemSpectroscopyAnalytica chimica acta
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Event-related potentials as a measure of speech cue processing in newborns with genetic risk for dyslexia

1999

newbornsprincipal component analysisconsonant differentiationbrain event related potentialsdevelopmental dyslexiaauditory processing
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Burned bones forensic investigations employing near infrared spectroscopy

2017

The use of near infrared (NIR) spectroscopy was evaluated, by using chemometric tools, for the study of the environmental impact on burned bones. Spectra of internal and external parts of burned bones, together with sediment samples, were treated by Principal Component Analysis and cluster classification as exploratory techniques to select burned bone samples, less affected by environmental processes, to properly carry out forensic studies. Partial Least Square Discriminant Analysis was used to build a model to classify bone samples based on their burning conditions, providing an efficient and accurate method to discern calcined and carbonized bone. Additionally, Partial Least Square regres…

010506 paleontologyStrontiumMaterials scienceMagnesium010401 analytical chemistryNear-infrared spectroscopychemistry.chemical_elementMineralogyLinear discriminant analysis01 natural sciences0104 chemical scienceschemistryPrincipal component analysisPartial least squares regressionNir spectra1607SpectroscopySpectroscopy0105 earth and related environmental sciencesVibrational Spectroscopy
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A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem

2017

A new data-driven reference vector-guided evolutionary algorithm has been successfully implemented to construct surrogate models for various objectives pertinent to an industrial blast furnace. A total of eight objectives have been modeled using the operational data of the furnace using 12 process variables identified through a principal component analysis and optimized simultaneously. The capability of this algorithm to handle a large number of objectives, which has been lacking earlier, results in a more efficient setting of the operational parameters of the furnace, leading to a precisely optimized hot metal production process. peerReviewed

data-driven optimizationPareto optimalityEngineeringBlast furnaceMathematical optimizationOptimization problemmodel managementblast furnaceEvolutionary algorithm02 engineering and technologyMulti-objective optimizationIndustrial and Manufacturing Engineering020501 mining & metallurgyData-drivenironmakingoptimointi0202 electrical engineering electronic engineering information engineeringGeneral Materials Scienceta113business.industrypareto-tehokkuusMechanical EngineeringProcess (computing)metamodelingMetamodeling0205 materials engineeringmulti-objective optimizationMechanics of MaterialsPrincipal component analysis020201 artificial intelligence & image processingbusinessrautateollisuus
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Analysis of enantiomers giving partially overlapped peaks by using different treatments of the chromatographic ultraviolet signals: quantification of…

2001

Abstract Different strategies for the quantification of partially coeluting optical isomers have been investigated. The methods tested are based on the use of different features as the analytical UV signals: peak heights, perpendicular drop areas, first and second derivatives of the chromatograms, peak areas obtained by deconvolution of the overlapped peaks with data fitting optimization, and a multivariate model (principal component regression, PCR). The amphetamine-derivative drug pseudoephedrine was selected as a model compound. For chromatography, LiChrospher 100 RP 18 and a mobile-phase consisting of methanol and a solution of carboxymethyl-β-cyclodextrin (the chiral selector) were use…

EphedrineChromatographyChemistryOrganic ChemistryAnalytical chemistryStereoisomerismGeneral MedicineReversed-phase chromatographyBiochemistryHigh-performance liquid chromatographyAnalytical ChemistryNasal decongestantPrincipal component analysisCurve fittingPrincipal component regressionSpectrophotometry UltravioletEnantiomerSecond derivativeJournal of Chromatography A
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Climate driven life histories: the case of the Mediterranean Storm petrel

2014

Seabirds are affected by changes in the marine ecosystem. The influence of climatic factors on marine food webs can be reflected in long-term seabird population changes. We modelled the survival and recruitment of the Mediterranean storm petrel (Hydrobates pelagicus melitensis) using a 21-year mark-recapture dataset involving almost 5000 birds. We demonstrated a strong influence of prebreeding climatic conditions on recruitment age and of rainfall and breeding period conditions on juvenile survival. The results suggest that the juvenile survival rate of the Mediterranean subspecies may not be negatively affected by the predicted features of climate change, i.e., warmer summers and lower rai…

Mediterranean climateCharadriiformesAtmospheric ScienceTime FactorsClimatePopulationClimate changelcsh:MedicinePopulation ModelingMarine BiologyBreedingModels BiologicalHydrobates pelagicusMarine ConservationCharadriiformesbiology.animalAnimalsMarine ecosystemeducationlcsh:ScienceAvian BiologyConservation ScienceClimatologyeducation.field_of_studyPrincipal Component AnalysisMultidisciplinarybiologyPopulation BiologyClimate change Mediterranean Storm Petrel WinteringEcologyMediterranean Regionlcsh:REcology and Environmental SciencesBiology and Life SciencesComputational BiologyStormbiology.organism_classificationSurvival AnalysisGeographySettore AGR/11 - Entomologia Generale E ApplicataEarth Scienceslcsh:QSeasonsSeabirdZoologyResearch ArticleClimate Modeling
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Sign and Rank Covariance Matrices: Statistical Properties and Application to Principal Components Analysis

2002

In this paper, the estimation of covariance matrices based on multivariate sign and rank vectors is discussed. Equivariance and robustness properties of the sign and rank covariance matrices are described. We show their use for the principal components analysis (PCA) problem. Limiting efficiencies of the estimation procedures for PCA are compared.

Covariance matrixbusiness.industrySparse PCAPattern recognitionCovarianceKernel principal component analysisCorrespondence analysisScatter matrixPrincipal component analysisApplied mathematicsArtificial intelligencebusinessCanonical correlationMathematics
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Use of nodulation pattern, stress tolerance, nodC gene amplification, RAPD-PCR and RFLP-16S rDNA analysis to discriminate genotypes of Rhizobium legu…

2005

Twenty-seven new Rhizobium isolates were obtained from root nodules of wild and crop legumes belonging to the genera Vicia, Lathyrus and Pisum from different agroecological areas in central and southern Italy. A polyphasic approach including phenotypic and genotypic techniques was used to study their diversity and their relationships with other biovars and species of rhizobia. Analysis of symbiotic properties and stress tolerance tests revealed that wild isolates, showed a wide spectrum of nodulation and a marked variation in stress tolerance compared with reference strains tested in this study. All rhizobial isolates (except for the isolate CG4 from Galega officinalis) were presumptively i…

DNA BacterialRoot noduleGenotypeStress toleranceBiologymedicine.disease_causeN-AcetylglucosaminyltransferasesApplied Microbiology and BiotechnologyMicrobiologyDNA RibosomalPolymerase Chain ReactionMediterranean areaRhizobium leguminosarumRhizobiaBacterial ProteinsRhizobium leguninosarumNodC geneStress toleranceWild legumesStrains diversityMediterranean areaSymbiotic characteristicsRNA Ribosomal 16SmedicineSymbiosisEcology Evolution Behavior and SystematicsGeneticsPrincipal Component AnalysisRhizobium leguminosarumfood and beveragesFabaceaeNucleic acid amplification techniqueNodC geneHydrogen-Ion ConcentrationRhizobium leguninosarum16S ribosomal RNAbiology.organism_classificationStrains diversitySymbiotic characteristicsRAPDBacterial Typing TechniquesRandom Amplified Polymorphic DNA TechniqueRhizobiumWild legumeRestriction fragment length polymorphismNucleic Acid Amplification TechniquesPolymorphism Restriction Fragment LengthSettore AGR/16 - Microbiologia Agraria
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Coastal Evolution in a Mediterranean Microtidal Zone: Mid to Late Holocene Natural Dynamics and Human Management of the Castellò Lagoon, NE Spain

2016

We present a palaeoenvironmental study of the Castelló lagoon (NE Spain), an important archive for understanding long-term interactions between dynamic littoral ecosystems and human management. Combining geochemistry, mineralogy, ostracods, diatoms, pollen, non-pollen palynomorphs, charcoal and archaeo-historical datasets we reconstruct: 1) the transition of the lagoon from a marine to a marginal environment between ~3150 cal BC to the 17th century AD; 2) fluctuations in salinity; and 3) natural and anthropogenic forces contributing to these changes. From the Late Neolithic to the Medieval period the lagoon ecosystem was driven by changing marine influence and the land was mainly exploited …

Mediterranean climateGeologic SedimentsTime FactorsMediterranean coastal lagoonMarine and Aquatic SciencesSocial SciencesSedimentaciólcsh:MedicineFresh WaterWoodlandPlant Science010502 geochemistry & geophysics01 natural scienceslaw.inventionlawCrustaceaLittoral zoneRadiocarbon datingOrganic Chemicalslcsh:ScienceLand-useHoloceneSedimentary GeologyMineralsPrincipal Component AnalysisMultidisciplinaryEcologyGeographyEcologyMediterranean RegionPlant AnatomyGeology[SHS.GEO]Humanities and Social Sciences/GeographyPlantsPlanktonRadioactive Carbon DatingOceanographyGeographyArchaeology[SDE]Environmental SciencesPol·lenPaleoecologiaPollenResearch ArticleLagoons010506 paleontologyConservation of Natural ResourcesAlgaePalaeoenvironmentLlacunesNatural (archaeology)Human-environmental dynamicsWater MovementsAnimalsHumansEcosystem14. Life underwaterEcosystem0105 earth and related environmental sciencesPetrologyDiatomsHoloceneEcology and Environmental SciencesRadiometric Datinglcsh:ROrganismsBiology and Life SciencesPaleontologySedimentation and deposition15. Life on landBodies of WaterModels TheoreticalInvertebrates[SDE.ES]Environmental Sciences/Environmental and Society13. Climate actionSpainArchaeological DatingPhytoplanktonPaleoecologyEarth SciencesSedimentlcsh:QPaleoecologyHydrologyPaleobiologyIberian Peninsula
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