Search results for "Metrics"

showing 10 items of 5055 documents

Analysis of Production, Impact, and Scientific Collaboration on Difficult Airway Through the Web of Science and Scopus (1981-2013).

2017

Bibliometrics, the statistical analysis of written publications, is an increasingly popular approach to the assessment of scientific activity. Bibliometrics allows researchers to assess the impact of a field, or research area, and has been used to make decisions regarding research funding. Through bibliometric analysis, we hypothesized that a bibliometric analysis of difficult airway research would demonstrate a growth in authors and articles over time.Using the Web of Science (WoS) and Scopus databases, we conducted a search of published manuscripts on the difficult airway from January 1981 to December 2013. After removal of duplicates, we identified 2412 articles. We then analyzed the art…

Biomedical ResearchTime FactorsInternational CooperationScopusMEDLINEEfficiencyBibliometricsWorld Wide Web03 medical and health sciences0302 clinical medicine030202 anesthesiologyIntubation IntratrachealProduction (economics)MedicineHumans030212 general & internal medicineCooperative BehaviorDifficult airwaybusiness.industrySubject (documents)Databases BibliographicAuthorshipAnesthesiology and Pain MedicinePublishingBibliometricsInterdisciplinary CommunicationDiffusion of InnovationPeriodicals as TopicCitationbusinessAnesthesia and analgesia
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Novel Iris Biometric Watermarking Based on Singular Value Decomposition and Discrete Cosine Transform

2014

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2014/926170 A novel iris biometric watermarking scheme is proposed focusing on iris recognition instead of the traditional watermark for increasing the security of the digital products. The preprocess of iris image is to be done firstly, which generates the iris biometric template from person's eye images. And then the templates are to be on discrete cosine transform; the value of the discrete cosine is encoded to BCH error control coding. The host image is divided into four areas equally correspondingly. The BCH codes are embedded in the sing…

BiometricsArticle SubjectGeneral MathematicsIris recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEngineering (all)Robustness (computer science)Computer Science::MultimediaDiscrete cosine transformMathematics (all)Computer visionDigital watermarkingTransform codingMathematicsComputer Science::Cryptography and Securitybusiness.industrylcsh:MathematicsVDP::Technology: 500::Mechanical engineering: 570General EngineeringWatermarkVDP::Technology: 500::Information and communication technology: 550lcsh:QA1-939ComputingMethodologies_PATTERNRECOGNITIONlcsh:TA1-2040Computer Science::Computer Vision and Pattern RecognitionArtificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)BCH codeMathematics (all); Engineering (all)Mathematical Problems in Engineering
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Quantitative comparison of motion history image variants for video-based depression assessment

2017

Abstract Depression is the most prevalent mood disorder and a leading cause of disability worldwide. Automated video-based analyses may afford objective measures to support clinical judgments. In the present paper, categorical depression assessment is addressed by proposing a novel variant of the Motion History Image (MHI) which considers Gabor-inhibited filtered data instead of the original image. Classification results obtained with this method on the AVEC’14 dataset are compared to those derived using (a) an earlier MHI variant, the Landmark Motion History Image (LMHI), and (b) the original MHI. The different motion representations were tested in several combinations of appearance-based …

BiometricsComputer scienceSpeech recognitionlcsh:TK7800-836002 engineering and technologyConvolutional neural networkMotion (physics)[SPI]Engineering Sciences [physics]Image processingMachine learning0502 economics and business[ SPI ] Engineering Sciences [physics]0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringCategorical variableComputingMilieux_MISCELLANEOUSLandmarkbusiness.industrylcsh:Electronics05 social sciencesAffective computingFacial image analysisPattern recognitionMotion history imageMoodSignal ProcessingPattern recognition (psychology)Depression assessment020201 artificial intelligence & image processingArtificial intelligenceF1 scorebusiness050203 business & managementInformation SystemsEURASIP Journal on Image and Video Processing
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2D ECG Image Based Biometric Identification Using Stacked Autoencoders

2021

The handcrafted features extraction methods have achieved remarkable results in ECG based biometric identification. However, they are sensitive to many factors: (1) intra and inter-individual variability, (2) heart rate variability, (3) powerline interference, baseline wander and muscle artifacts. To deal with these issues, deep learning approaches have been proposed to extract automatically the important features almost from original data without any preprocessing step (i.e., The original ECG signal mostly contains noise). Unlike conventional ECG based biometric approaches, which based either on fiducial and non-fiducial methods, the proposed approach can be implemented on end to end syste…

BiometricsComputer sciencebusiness.industryNoise reductionDeep learningPattern recognitionComputingMethodologies_PATTERNRECOGNITIONRobustness (computer science)PreprocessorSegmentationNoise (video)Artificial intelligencebusinessFiducial marker2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)
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Local Directional Multi Radius Binary Pattern

2018

Face recognition becomes an important task performed routinely in our daily lives. This application is encouraged by the wide availability of powerful and low-cost desktop and embedded computing systems, while the need comes from the integration in too much real world systems including biometric authentication, surveillance, human-computer interaction, and multimedia management. This article proposes a new variant of LBP descriptor referred as Local Directional Multi Radius Binary Pattern (LDMRBP) as a robust and effective face descriptor. The proposed LDMRBP operator is built using new neighborhood topology and new pattern encoding scheme. The adopted face recognition system consists of th…

BiometricsContextual image classificationbusiness.industryComputer scienceFeature vectorFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunicationsPattern recognition02 engineering and technologyBinary patternFacial recognition systemComputingMethodologies_PATTERNRECOGNITIONHistogram0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessFace detection
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BED: A new dataset for EEG-based biometrics

2021

Various recent research works have focused on the use of electroencephalography (EEG) signals in the field of biometrics. However, advances in this area have somehow been limited by the absence of a common testbed that would make it possible to easily compare the performance of different proposals. In this work, we present a data set that has been specifically designed to allow researchers to attempt new biometric approaches that use EEG signals captured by using relatively inexpensive consumer-grade devices. The proposed data set has been made publicly accessible and can be downloaded from https://doi.org/10.5281/zenodo.4309471 . It contains EEG recordings and responses from 21 individuals…

Biometricsmedicine.diagnostic_testComputer Networks and CommunicationsComputer sciencebusiness.industryContext (language use)ElectroencephalographyMachine learningcomputer.software_genreFacial recognition systemField (computer science)Computer Science ApplicationsData setIdentification (information)Consistency (database systems)Hardware and ArchitectureSignal ProcessingmedicineArtificial intelligencebusinesscomputerInformation Systems
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Forecast Output Coincidence and Biproportion: Two Criteria to Determine the Orientation of an Economy. Comparison for France (1980-1997)

2002

International audience; The method of forecast output coincidence used to determine if sectors are demand-sided or supply-sided in an input-output framework mixes two effects, the structural effect (choosing between demand and supply side models) and the effect of an exogenous factor (final demand or added-value). The note recalls that another method is possible, the comparison of the stability of technical and allocation coefficients, generalized by the biproportional filter: if for a sector, after biproportional filtering, column coefficients are more stable than row coefficients, then this sector is declared as not supply-sided (but one cannot decide that it is demand-sided anyway), and …

BiproportionEconomics and EconometricsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsSupplyChangeJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisStability (probability)Column (database)CoincidenceSupply and demandMicroeconomicsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingEconometricsEconomicsDemandJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceInput/outputJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsOrientation (computer vision)Exogenous factorFilter (signal processing)[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingInput-OutputRAS
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A comparative life-cycle assessment of asphalt mixtures for railway sub-ballast containing alternative materials

2018

Abstract Bituminous sub-ballast in railway track-bed can mitigate the variation of the moisture content in the subgrade and reduce vertical stiffness variations of the track leading to a more durable infrastructure. Nevertheless, durability is only one of the aspects that affects the sustainability of an infrastructure. Other relevant aspects are related to the environmental and economic issues. This research work joins the worldwide effort towards a paradigm shift in civil engineering devoted to assess the sustainability of infrastructures at the design stage. With this in mind, in this study different alternative bituminous sub-ballast mixtures containing recycled materials, namely crumb …

Bituminous mixtures; Crumb rubber; Environmental sustainability; Life-cycle assessment; Reclaimed asphalt pavements; Waste Management and Disposal; Economics and EconometricsBallastEconomics and EconometricsLife-cycle assessment0211 other engineering and technologies02 engineering and technology010501 environmental sciencesTrack (rail transport)Reclaimed asphalt pavement01 natural sciencesCivil engineeringReclaimed asphalt pavementsNatural rubberBituminous mixture021105 building & constructionSettore ICAR/04 - Strade Ferrovie Ed AeroportiCrumb rubberEnvironmental sustainabilityWaste Management and Disposal0105 earth and related environmental sciencesCrumb rubberSubgradeBituminous mixturesDurabilityAsphaltvisual_artSustainabilityvisual_art.visual_art_mediumEnvironmental scienceResources, Conservation and Recycling
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Seeing Bivariate Data

2011

Bivariate dataStatisticsEconometricsScatterplot smoothingMathematics
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Modified locally weighted—Partial least squares regression improving clinical predictions from infrared spectra of human serum samples

2012

Locally weighted partial least squares regression (LW-PLSR) has been applied to the determination of four clinical parameters in human serum samples (total protein, triglyceride, glucose and urea contents) by Fourier transform infrared (FTIR) spectroscopy. Classical LW-PLSR models were constructed using different spectral regions. For the selection of parameters by LW-PLSR modeling, a multi-parametric study was carried out employing the minimum root-mean square error of cross validation (RMSCV) as objective function. In order to overcome the effect of strong matrix interferences on the predictive accuracy of LW-PLSR models, this work focuses on sample selection. Accordingly, a novel strateg…

Blood GlucoseAnalyteChemistryBlood ProteinsCross-validationAnalytical ChemistryChemometricsMatrix (chemical analysis)symbols.namesakeFourier transformSpectroscopy Fourier Transform InfraredPartial least squares regressionPrincipal component analysisStatisticssymbolsHumansUreaLeast-Squares AnalysisFourier transform infrared spectroscopyBiological systemTriglyceridesTalanta
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