Search results for "algorithm."

showing 10 items of 4617 documents

Does δ-sarcoglycan-associated autosomal-dominant cardiomyopathy exist?

2009

In this study we clinically and genetically characterize a consanguineous family with a homozygous novel missense mutation in the delta-sarcoglycan gene and a second delta-sarcoglycan mutation that has previously been reported to cause severe autosomal-dominant dilated cardiomyopathy. We identified a novel missense mutation in exon 6 (p.A131P) of the delta-sarcoglycan gene, which in a homozygous state leads to the clinical picture of a limb girdle muscular dystrophy. In four heterozygous carriers for the mutation, aged 3-64 years, a second sequence variant in exon 6 (p.S151A) of the delta-sarcoglycan gene was detected on the other allele. This second missense change had previously been repo…

musculoskeletal diseasesAdultCardiomyopathy DilatedMalemedicine.medical_specialtyAdolescentBiopsyDNA Mutational AnalysisCardiomyopathyMutation MissenseCompound heterozygosityArticleExonConsanguinityElectrocardiographyYoung AdultInternal medicineSarcoglycansGeneticsMedicineMissense mutationHumansMuscular dystrophyChildGenetics (clinical)Genes DominantGeneticsFamily Healthbusiness.industryMusclesMyocardiumDilated cardiomyopathyMiddle Agedmedicine.diseasePedigreeEndocrinologyEchocardiographyChild PreschoolMutation (genetic algorithm)FemalebusinessLimb-girdle muscular dystrophy
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Dissecting the clinical heterogeneity of adult-onset Still's disease, results from a multi-dimensional characterisation and stratification

2021

Abstract Objectives To stratify adult-onset Still’s disease (AOSD) patients in distinct clinical subsets to be differently managed, by using a multi-dimensional characterization. Methods AOSD patients were evaluated by using a hierarchical unsupervised cluster analysis comprising age, laboratory markers systemic score and outcomes. The squared Euclidean distances between each pair of patients were calculated and put into a distance matrix, which served as the input clustering algorithm. Derived clusters were descriptively analysed for any possible difference. Results Four AOSD patients clusters were identified. Disease onset in cluster 1 was characterized by fever (100%), skin rash (92%) an…

myalgiaAdultmedicine.medical_specialtyAdult-onset Still's diseaseFeverprecision medicineArthritisAdult-onset Still's diseaseGastroenterologyRheumatologyInternal medicinemedicineSore throatHumansPharmacology (medical)Adult-onset Still’s diseasebiologybusiness.industryMortality rateArthritisExanthemaMiddle Agedmedicine.diseaseRashFerritinC-Reactive ProteinAdult-onset Still’s disease; precision medicineFerritinsMulti dimensionalbiology.proteinmedicine.symptombusinessStill's Disease Adult-OnsetAlgorithmsBiomarkers
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A Navigation and Augmented Reality System for Visually Impaired People

2021

In recent years, we have assisted with an impressive advance in augmented reality systems and computer vision algorithms, based on image processing and artificial intelligence. Thanks to these technologies, mainstream smartphones are able to estimate their own motion in 3D space with high accuracy. In this paper, we exploit such technologies to support the autonomous mobility of people with visual disabilities, identifying pre-defined virtual paths and providing context information, reducing the distance between the digital and real worlds. In particular, we present ARIANNA+, an extension of ARIANNA, a system explicitly designed for visually impaired people for indoor and outdoor localizati…

navigation; visually impaired; computer vision; augmented reality; cultural context; convolutional neural network; machine learning; hapticExploitComputer scienceconvolutional neural networkImage processingContext (language use)02 engineering and technologyTP1-1185BiochemistryConvolutional neural networkArticleMotion (physics)computer visionAnalytical ChemistrySettore ING-INF/04 - AutomaticaArtificial IntelligenceHuman–computer interactioncultural context0202 electrical engineering electronic engineering information engineeringHumansElectrical and Electronic EngineeringnavigationInstrumentationHaptic technologySettore ING-INF/03 - TelecomunicazioniChemical technology020206 networking & telecommunicationsAtomic and Molecular Physics and Opticsaugmented realitymachine learning020201 artificial intelligence & image processingAugmented realityvisually impairedNeural Networks ComputerhapticAlgorithmsVisually Impaired PersonsPATH (variable)augmented reality computer vision convolutional neural network cultural context haptic machine learning navigation visually impaired Algorithms Artificial Intelligence Humans Neural Networks Computer Augmented Reality Visually Impaired PersonsSensors
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Community detection of seismic point processes

2022

In this paper, we combine robin and Local Indicators of Spatio-Temporal Association (LISTA) functions. robin is an R package to assess the robustness of the community structure of a network found by one or more methods to give indications about their reliability. We use it to propose a classification algorithm of events in a spatio-temporal point pattern, by means of the local second-order characteristics and the community detection procedure in network analysis. We demonstrate the proposed procedure on a real data analysis on seismic data.

network analysis community detection algorithm second-order characteristics spatio-temporal point processes statistical validation earthquakesSettore SECS-S/01 - Statistica
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Energy efficient resource allocation in heterogeneous software defined network: A reverse combinatorial auction approach

2015

In this paper, resource allocation for energy effi- ciency in heterogeneous Software Defined Network (SDN) with multiple network service providers (NSPs) is studied. The considered problem is modeled as a reverse combinatorial auction game, which takes different quality of service (QoS) requirements into account. The heterogeneous network selection associated with power allocation problem is optimized by maximizing the energy efficiency of data transmission. By exploiting the properties of fractional programming, the resulting non-convex Winner Determination Problem (WDP) is transformed into an equivalent subtractive convex optimization problem. The proposed reverse combinatorial auction ga…

network service providersComputer Science::Computer Science and Game TheoryMathematical optimizationenergiatehokkuusComputer scienceDistributed computingQuality of serviceSoftware Defined NetworksAuction algorithmSDNCombinatorial auctionResource allocationSoftware-defined networkingHeterogeneous networkEfficient energy use2015 IEEE/CIC International Conference on Communications in China (ICCC)
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La selección de las noticias en el entorno de un centro de documentación de información de actualidad

2002

In information retrieval systems operation, lack of adequate selection criteria originates information overload and has negative consequences in relevance judgments. In the context of a news reference service, three leveis in the selection process are proposed. The first one relates to the type of sources covered by the system, the second set of criteria determines which publications are included in the process of document analysis. The last one applies to the selection of individual documents based on their informative content. La falta de criterios idóneos de selección puede provocar un grave problema de saturación informativa, lo que repercute negativamente en la búsqueda posterior de in…

news reference servicesnewspapers indexingContext (language use)prensa diariaLibrary and Information SciencesDocument analysisInformation overloadInformative contentinformación de actualidadPolitical sciencecriterios de selecciónnoticiasRelevance (information retrieval)documentación periodísticadocument selectionselección documentalHumanitiesSelection (genetic algorithm)Revista española de Documentación Científica
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Interactive multiobjective optimization for finding the most preferred exercise therapy modality in knee osteoarthritis

2022

Abstract Background There are no explicit guidelines or tools available to support clinicians in selecting exercise therapy modalities according to the characteristics of individual patients despite the apparent need. Objective This study develops a methodology based on a novel multiobjective optimization model and examines its feasibility as a decision support tool to support healthcare professionals in comparing different modalities and identifying the most preferred one based on a patient’s needs. Methods Thirty-one exercise therapy modalities were considered from 21 randomized controlled trials. A novel interactive multiobjective optimization model was designed to characterize the effic…

nivelrikkoPhysical Medicine & Rehabilitationdecision supportpolvetRfyysinen toimintakykykipupäätöksentukijärjestelmätGeneral MedicineOsteoarthritis Kneemonitavoiteoptimointiknee osteoarthritisdecision makingfysioterapiaExercise Therapyphysical functionoptimointiMedicineHumanspainKnee osteoarthritiscost-effective exercise therapy modalityAlgorithmsResearch Articleliikuntahoito
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Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algo…

2019

Self-Organising Feature Map (SOFM) neural models and the Learning Vector Quantization (LVQ) algorithm were used to produce a classifier identifying the quality classes of compost, according to the degree of its maturation within a period of time recorded in digital images. Digital images of compost at different stages of maturation were taken in a laboratory. They were used to generate an SOFM neural topological map with centres of concentration of the classified cases. The radial neurons on the map were adequately labelled to represent five suggested quality classes describing the degree of maturation of the composted organic matter. This enabled the creation of a neural separator classify…

non-parametric classificationComputer science020209 energyHealth Toxicology and Mutagenesislcsh:Medicine02 engineering and technology010501 environmental sciencesengineering.material01 natural sciencesArticleDigital imageSoftwareArtificial Intelligence0202 electrical engineering electronic engineering information engineeringLearningTopological map0105 earth and related environmental sciencesLVQ algorithmLearning vector quantizationArtificial neural networkSOFM neural networkCompostbusiness.industryCompostinglcsh:RPublic Health Environmental and Occupational Health<i>LVQ</i> algorithmengineeringNeural Networks ComputerbusinessClassifier (UML)AlgorithmAlgorithmsSoftwareInternational Journal of Environmental Research and Public Health
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Page replacement in operating system memory management

2007

operating systemskäyttöjärjestelmätsivunkorvauspage replacementalgoritmitmuistinhallintamemory managementalgorithms
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Simple memetic computing structures for global optimization

2014

optimointidifferentiaalievoluutiomemetic computingdifferential evolutionlocal searchmemeettiset algoritmitgeneettiset algoritmitmemetic algorithmsevolutionary algorithmsmemetic structures
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