Search results for "Component"

showing 10 items of 1682 documents

Machine Learning Techniques for Intrusion Detection: A Comparative Analysis

2016

International audience; With the growth of internet world has transformed into a global market with all monetary and business exercises being carried online. Being the most imperative resource of the developing scene, it is the vulnerable object and hence needs to be secured from the users with dangerous personality set. Since the Internet does not have focal surveillance component, assailants once in a while, utilizing varied and advancing hacking topologies discover a path to bypass framework " s security and one such collection of assaults is Intrusion. An intrusion is a movement of breaking into the framework by compromising the security arrangements of the framework set up. The techniq…

Computer scienceAnomaly-based intrusion detection system02 engineering and technologyIntrusion detection systemIDSMachine learningcomputer.software_genre[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Machine LearningResource (project management)Component (UML)0202 electrical engineering electronic engineering information engineeringROCSet (psychology)[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]False Positivebusiness.industryACM[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020206 networking & telecommunicationsPrecisionObject (computer science)True PositiveOutlier020201 artificial intelligence & image processingThe InternetArtificial intelligenceData miningbusinesscomputer
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Vibrational spectroscopy provides a green tool for multi-component analysis

2010

Abstract Based on the literature published in the past decade, we focus on the possibilities offered by vibrational-spectroscopy-based techniques to make multi-component analysis of samples independently of their physical state. We discuss the main chemometric tools proposed for developing calibration models and solving problems derived from spectroscopic non-idealities (e.g., highly overlapped spectral bands or the presence of spectral non-linearity), and the benefits provided by vibrational-spectroscopy-based multi-component analysis in industry. Our main objective is to show that vibrational spectroscopy provides fast analytical methods that enable non-destructive analysis and permits, i…

Computer scienceCalibration (statistics)Infrared spectroscopyMineralogySample (statistics)Spectral bandscomputer.software_genreAnalytical ChemistryChemometricsNonlinear systemComponent analysisData miningFocus (optics)computerSpectroscopyTrAC Trends in Analytical Chemistry
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On the Computation of Symmetrized M-Estimators of Scatter

2016

This paper focuses on the computational aspects of symmetrized Mestimators of scatter, i.e. the multivariate M-estimators of scatter computed on the pairwise differences of the data. Such estimators do not require a location estimate, and more importantly, they possess the important block and joint independence properties. These properties are needed, for example, when solving the independent component analysis problem. Classical and recently developed algorithms for computing the M-estimators and the symmetrized M-estimators are discussed. The effect of parallelization is considered as well as new computational approach based on using only a subset of pairwise differences. Efficiencies and…

Computer scienceComputation05 social sciencesEstimatorMultivariate normal distributionM-estimators01 natural sciencesIndependent component analysisscatter010104 statistics & probabilityScatter matrix0502 economics and businessPairwise comparison0101 mathematicsAlgorithmIndependence (probability theory)050205 econometrics Block (data storage)
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Artificial Intelligence in Protecting Smart Building’s Cloud Service Infrastructure from Cyberattacks

2020

Gathering and utilizing stored data is gaining popularity and has become a crucial component of smart building infrastructure. The data collected can be stored, for example, into private, public, or hybrid cloud service infrastructure or distributed service by utilizing data platforms. The stored data can be used when implementing services, such as building automation (BAS). Cloud services, IoT sensors, and data platforms can face several kinds of cybersecurity attack vectors such as adversarial, AI-based, DoS/DDoS, insider attacks. If a perpetrator can penetrate the defenses of a data platform, she can cause significant harm to the system. For example, the perpetrator can disrupt a buildin…

Computer scienceDenial-of-service attackCloud computingComputerApplications_COMPUTERSINOTHERSYSTEMStekoälyComputer securitycomputer.software_genreInsiderpilvipalvelutälytalotComponent (UML)cloud servicetietoturvakyberturvallisuusBuilding automationbusiness.industryattack vectorsartificial intelligencePopularityartificial-intelligence-based applicationsHeating systemälytekniikkabusinessdata platformCloud storagecomputerverkkohyökkäykset
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A Method of Three-Dimensional Visualization of Molecular Processes of Apoptosis

2014

Apoptosis or programmed cell death plays an important role in many physiological states and diseases. Detection of apoptotic cells, tracing the development of apoptosis, drug development and regulation of apoptosis are an important parts of basic research in medicine. A large number of models have been developed that are based on the differential equations of the chemical kinetics, and can be expressed in a uniform notation using some XML-based languages, such as SBML and CellML. We describe the CellML and the simulation environment OpenCell herein. These tools can display models schematically and output results in the form of graphs showing time dependencies of component concentrations. Ho…

Computer scienceDifferential equationcomputer.internet_protocolbusiness.industryCellMLTracingVisualizationCell biologySoftwareComponent (UML)SBMLBiological systembusinesscomputerXML
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Wireless ECG and cardiac monitoring systems: State of the art, available commercial devices and useful electronic components

2021

Abstract Wireless ElectroCardioGram (ECG) systems are employed in manifold application fields: tele-monitoring, sport applications, support to ageing people at home, fetal ECG, wearable devices and ambulatory monitoring. The presence of cables often hinders user’s free movements, alongside clinicians’ routine operations. Therefore, wireless ECG systems are desirable. This paper aims at reviewing the solutions described in the literature, besides commercially available devices and electronic components useful to setup laboratory prototypes. Several systems have been developed, different in terms of the adopted technology; when approaching the development of a wireless ECG system, some import…

Computer scienceElectrodemedicine.medical_treatmentWireless communication02 engineering and technology01 natural sciencesMultiplexerlaw.inventionBluetoothElectrocardiographyData acquisitionlawSettore ING-IND/12 - Misure Meccaniche E Termiche0202 electrical engineering electronic engineering information engineeringmedicineMiniaturizationWirelessElectrical and Electronic EngineeringInstrumentationWearable technologyECGbusiness.industryApplied Mathematics020208 electrical & electronic engineering010401 analytical chemistryCondensed Matter Physics0104 chemical sciencesvisual_artElectronic componentvisual_art.visual_art_mediumWireless ECGCardiac monitoringbusinessBiomedical engineeringComputer hardwareMeasurement
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Progress in EU Breeding Blanket design and integration

2018

Abstract In Europe (EU), in the frame of the EUROfusion consortium activities, four Breeding Blanket (BB) concepts are being developed with the aim of fulfilling the performances required by a near-term fusion power demonstration plant (DEMO) in terms of tritium self-sufficiency and electricity production. The four blanket options cover a wide range of technological possibilities, as water and helium are considered as possible coolants and solid ceramic breeder in combination with beryllium and PbLi as tritium breeder and neutron multipliers. The strategy for the BB selection and operation has to account for the challenging schedule of the EU DEMO, the ambitious operational requirements of …

Computer scienceIn-vessel and ex-vessel componentsBlanketContinuous design7. Clean energy01 natural sciencesBalance of plan010305 fluids & plasmas[SPI]Engineering Sciences [physics]Balance of plant; Breeding Blanket; In-vessel and ex-vessel components; Civil and Structural Engineering; Nuclear Energy and Engineering; Materials Science (all); Mechanical Engineering0103 physical sciencesGeneral Materials Science010306 general physicsSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringBalance of plantBreeding BlanketMechanical EngineeringFrame (networking)Schedule (project management)tIn-vessel and ex-vessel componentsElectricity generationNuclear Energy and Engineering13. Climate actionInterfacingSystems engineeringDemonstration PlantIn-vessel and ex-vessel componentMaterials Science (all)Design evolution
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pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components

2019

AbstractBackgroundPrincipal component analysis (PCA) is frequently useentirely written ind in genomics applications for quality assessment and exploratory analysis in high-dimensional data, such as RNA sequencing (RNA-seq) gene expression assays. Despite the availability of many software packages developed for this purpose, an interactive and comprehensive interface for performing these operations is lacking.ResultsWe developed the pcaExplorer software package to enhance commonly performed analysis steps with an interactive and user-friendly application, which provides state saving as well as the automated creation of reproducible reports. pcaExplorer is implemented in R using the Shiny fra…

Computer scienceInterface (computing)ShinyBioconductorPrincipal component analysis610 MedizinRNA-SeqGenomicslcsh:Computer applications to medicine. Medical informaticsReproducible researchBioconductorTranscriptomeExploratory data analysisUser-friendly610 Medical sciencesGene expressionHumansRNA-SeqGenelcsh:QH301-705.5Data CurationBase Sequencebusiness.industrySequence Analysis RNARRNAReproducibility of Resultslcsh:Biology (General)Principal component analysisRNAlcsh:R858-859.7Software engineeringbusinessSoftware
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Missing Data

2009

In this chapter, we deal with the problem of missing data in principal component analysis (PCA) and partial least squares (PLS) methods. First, we review several statistical methods proposed in the literature for handling missing data. Both single and multiple imputation (MI) methods are studied and compared using simulated data. After this, we particularize the missing data problem for building and exploiting multivariate calibration models. Several approaches proposed in the literature are introduced and their performance compared based on several real data sets.

Computer scienceIterative methodSimulated dataPrincipal component analysisExpectation–maximization algorithmPartial least squares regressionMultivariate calibrationMissing data problemData miningcomputer.software_genreMissing datacomputer
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Feature Dimensionality Reduction for Mammographic Report Classification

2016

The amount and the variety of available medical data coming from multiple and heterogeneous sources can inhibit analysis, manual interpretation, and use of simple data management applications. In this paper a deep overview of the principal algorithms for dimensionality reduction is carried out; moreover, the most effective techniques are applied on a dataset composed of 4461 mammographic reports is presented. The most useful medical terms are converted and represented using a TF-IDF matrix, in order to enable data mining and retrieval tasks. A series of query have been performed on the raw matrix and on the same matrix after the dimensionality reduction obtained using the most useful techni…

Computer scienceLatent semantic analysisbusiness.industryDimensionality reductionData managementCosine similarityPattern recognitionLatent Semantic Analysis (LSA)02 engineering and technologySingular Value Decomposition (SVD)Medical Application03 medical and health sciencesMatrix (mathematics)0302 clinical medicineFeature Dimensionality ReductionFeature (computer vision)Singular value decompositionPrincipal component analysis0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing030212 general & internal medicineArtificial intelligencebusinessPrincipal Component Analysis (PCA)
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