Search results for "Pattern"

showing 10 items of 4203 documents

A C0-Semigroup of Ulam Unstable Operators

2020

The Ulam stability of the composition of two Ulam stable operators has been investigated by several authors. Composition of operators is a key concept when speaking about C0-semigroups. Examples of C0-semigroups formed with Ulam stable operators are known. In this paper, we construct a C0-semigroup (Rt)t&ge

Pure mathematicsPhysics and Astronomy (miscellaneous)General MathematicsMathematicsofComputing_GENERAL02 engineering and technology01 natural sciencesStability (probability)Domain (mathematical analysis)Chebyshev expansion0103 physical sciencescomposition of operatorsData_FILES0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)Infinitesimal generatorC0-semigroupNonlinear Sciences::Pattern Formation and SolitonsMathematicsMathematics::Functional Analysis010308 nuclear & particles physicsSemigroupMathematics::Operator Algebraslcsh:MathematicsUlam stabilityComposition (combinatorics)lcsh:QA1-939Nonlinear Sciences::Chaotic Dynamics<i>C</i><sub>0</sub>-semigroupsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESChemistry (miscellaneous)Chebyshev expansion020201 artificial intelligence & image processingSymmetry
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Ulam Stability for the Composition of Operators

2020

Working in the setting of Banach spaces, we give a simpler proof of a result concerning the Ulam stability of the composition of operators. Several applications are provided. Then, we give an example of a discrete semigroup with Ulam unstable members and an example of Ulam stable operators on a Banach space, such that their sum is not Ulam stable. Another example is concerned with a C 0 -semigroup ( T t ) t &ge

Pure mathematicsPhysics and Astronomy (miscellaneous)General MathematicsOpen problemBanach space02 engineering and technology01 natural sciencesStability (probability)closed linear subspacescomposition of operators0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)0101 mathematicsNonlinear Sciences::Pattern Formation and SolitonsMathematicsMathematics::Functional AnalysisSemigrouplcsh:Mathematics010102 general mathematicsUlam stabilityComposition (combinatorics)lcsh:QA1-939Nonlinear Sciences::Chaotic Dynamics<i>C</i><sub>0</sub>-semigroupsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESChemistry (miscellaneous)Computer Science::Programming Languages020201 artificial intelligence & image processingSymmetry
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Human Amnion-Derived Mesenchymal Stromal Cells: A New Potential Treatment for Carbapenem-Resistant Enterobacterales in Decompensated Cirrhosis

2022

Background: Spontaneous bacterial peritonitis (SBP) is a severe and often fatal infection in patients with decompensated cirrhosis and ascites. The only cure for SBP is antibiotic therapy, but the emerging problem of bacterial resistance requires novel therapeutic strategies. Human amniotic mesenchymal stromal cells (hA-MSCs) possess immunomodulatory and anti-inflammatory properties that can be harnessed as a therapy in such a context. Methods: An in vitro applications of hA-MSCs in ascitic fluid (AF) of cirrhotic patients, subsequently infected with carbapenem-resistant Enterobacterales, was performed. We evaluated the effects of hA-MSCs on bacterial load, innate immunity factors, and macr…

QH301-705.5Placentacirrhosis; ascitic fluid; spontaneous bacterial peritonitis; human amnion-derived mesenchymal stromal cells; carbapenem-resistant Enterobacterales; pattern recognition molecules; ficolins; complement; placentaComplementEnterobacterPeritonitisMesenchymal Stem Cell Transplantationbeta-Lactam ResistanceCatalysisImmunomodulationInorganic ChemistryPhagocytosisSpontaneous bacterial peritonitisHumansHuman amnion-derived mesenchymal stromal cellsAmnionBiology (General)Physical and Theoretical ChemistryQD1-999Complement ActivationMolecular BiologySpectroscopyAscitic fluidMacrophagesCarbapenem-resistant EnterobacteralesOrganic ChemistryPattern recognition moleculesEnterobacteriaceae InfectionsMesenchymal Stem CellsPeritoneal FibrosisFicolinsComplement System ProteinsGeneral MedicineBacterial LoadComputer Science ApplicationsChemistryTreatment OutcomeCirrhosisCarbapenemsReceptors Pattern RecognitionDisease SusceptibilityInflammation MediatorsBiomarkersInternational Journal of Molecular Sciences; Volume 23; Issue 2; Pages: 857
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ROS/Gazebo-Based Simulation of Quadcopter Aircrafts

2018

The main purpose of this work is to present a tutorial description on how to design and develop an observer, which is capable of estimating the position and the orientation of a drone commanded by a controller, whose shape and structure are unknown. Starting from Newton's and Euler's laws, a mathematical model describing the dynamics of a quadcopter has first been obtained. By linearizing this model it is possible to implement a Luenberger observer and validate it with simulations in a Linux environment, thanks to the use of the Ardupilot controller and the Gazebo simulator. Finally, starting from the results obtained from the simulation, it is possible to evaluate the error made in the est…

QuadcopterObserver (quantum physics)Computer sciencebusiness.industryRenewable Energy Sustainability and the EnvironmentNonlinear controlEnergy Engineering and Power TechnologyRoboticsComputer Science Applications1707 Computer Vision and Pattern RecognitionROS/GazeboNonlinear controlquad-copterDroneIndustrial and Manufacturing EngineeringRoboticComputer Networks and CommunicationControl theoryArtificial IntelligenceTrajectoryArtificial intelligenceState observerbusinessInstrumentation
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Statistical guidelines for quality control of next-generation sequencing techniques.

2021

Condition-specific statistical guidelines and accurate classification trees for quality control of functional genomics NGS files (RNA-seq, ChIP-seq and DNase-seq) have been generated using thousands of reference files from the ENCODE project and made available to the community.

Quality ControlComputer scienceHealth Toxicology and Mutagenesismedia_common.quotation_subjectControl (management)genetic processes26Plant ScienceBiochemistry Genetics and Molecular Biology (miscellaneous)HumansQuality (business)Statistical analysisRelevance (information retrieval)natural sciencesResearch Articlesmedia_commonEcologyScope (project management)Genome HumanComputational BiologyHigh-Throughput Nucleotide Sequencing15Sequence Analysis DNA11Data scienceComputingMethodologies_PATTERNRECOGNITIONTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESSoftwareResearch ArticleLife science alliance
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Feature selection strategies for quality screening of diesel samples by infrared spectrometry and linear discriminant analysis.

2012

Abstract A rapid approach has been developed for the characterization of diesel quality, based on attenuated total reflectance – Fourier transform infrared (ATR-FTIR) spectrometry, which could be useful for diagnosing the sample quality condition. As a supervised technique, linear discriminant analysis (LDA) was employed to process the spectrometric data. The role of variable selection methods was also evaluated. Successive projection algorithm (SPA) and genetic algorithm (GA) feature selection techniques were applied prior to the discriminative procedure. It was aimed to compare the effect of feature selection procedures on classification capability of IR spectrometry for the diesel sample…

Quality ControlPrincipal Component AnalysisChemistrybusiness.industryAnalytical chemistryDiscriminant AnalysisFeature selectionPattern recognitionLinear discriminant analysisAnalytical ChemistryChemometricssymbols.namesakeDiesel fuelFourier transformDiscriminative modelGenetic algorithmSpectroscopy Fourier Transform InfraredsymbolsArtificial intelligencebusinessDykstra's projection algorithmAlgorithmsGasolineTalanta
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Automated quality control protocol for MR spectra of brain tumors.

2008

Item does not contain fulltext eTUMOUR (http://www.etumour.net/) is acquiring a large database of brain tumor (1)H MR spectra to develop automated pattern recognition methods and decision support system (DSS) for tumor diagnosis. Development of accurate pattern-recognition algorithms requires spectra undistorted by artifacts, low signal-to-noise, or broad lines. eTUMOUR currently uses panels of expert spectroscopists to subjectively grade spectra as being acceptable or unacceptable. Automated quality control (QC) would be more satisfactory for several reasons: 1) to provide a reproducible objective classification of spectrum quality; 2) for use within the future DSS to prevent misdiagnosis …

Quality ControlProtocol (science)Decision support systemMagnetic Resonance SpectroscopyBrain NeoplasmsComputer sciencemedia_common.quotation_subjectFeature extractioncomputer.software_genreIndependent component analysisDecision Support TechniquesPattern Recognition AutomatedTest setPattern recognition (psychology)Support vector machine classifierHumansRadiology Nuclear Medicine and imagingQuality (business)Functional Imaging [UMCN 1.1]Data miningcomputermedia_commonMagnetic Resonance in Medicine
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Apparence des matériaux, Vision artificielle, Inspection qualité, Reflectance Transformation Imaging

2022

Mastering the visual perception of the surfaces of manufactured products is a central issue for industry. However, in industry, the quality of surfaces is often assessed by human inspectors. Only a few specific cases use an instrumental or photometric approach. Among the photometric approaches, one of them is experiencing significant growth: Reflectance Transformation Imaging (RTI). However, this technique has limitations in terms of data acquisition and processing. The objective is therefore to correct some of these limitations in order to improve the RTI and, consequently, the visual quality control of surface conditions in industry.The current RTI systems are limited and cannot meet our …

Quality Inspection[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingArtificial VisionReflectance Transformation ImagingApparence des matériauxInspection qualitéMaterial AppearanceVision artificielle
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Feature selection on a dataset of protein families: from exploratory data analysis to statistical variable importance

2016

Proteins are characterized by several typologies of features (structural, geometrical, energy). Most of these features are expected to be similar within a protein family. We are interested to detect which features can identify proteins that belong to a family, as well as to define the boundaries among families. Some features are redundant: they could generate noise in identifying which variables are essential as a fingerprint and, consequently, if they are related or not to a function of a protein family. We defined an original approach to analyze protein features for defining their relationships and peculiarities within protein families. A multistep approach has been mainly performed in R …

Quantitative Biology::Biomoleculesbusiness.industrySparse PCAPattern recognitionFeature selectionLinear discriminant analysisCross-validationRandom forestExploratory data analysisStatistical classificationArtificial intelligencebusinessCluster analysisMathematics
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Optimizing auditory images and distance metrics for self‐organizing timbre maps*

1996

Abstract The effect of using different auditory images and distance metrics on the final configuration of a self‐organized timbre map is examined by comparing distance matrices, obtained from simulations, with a similarity rating matrix, obtained using the same set of stimuli as in the simulations. Gradient images, which are intended to represent idealizations of physiological gradient maps in the auditory pathway, are constructed. The optimal auditory image and distance metric, with respect to the similarity rating data, are searched using the gradient method.

Quantitative Biology::Neurons and CognitionVisual Arts and Performing Artsbusiness.industryRating matrixPattern recognitionImage (mathematics)Set (abstract data type)Similarity (network science)Computer Science::SoundComputer visionArtificial intelligencebusinessGradient methodTimbreMusicDistance matrices in phylogenyMathematicsJournal of New Music Research
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