Search results for "Mach"

showing 10 items of 3360 documents

Discriminating and simulating actions with the associative self-organising map

2015

We propose a system able to represent others’ actions as well as to internally simulate their likely continuation from a partial observation. The approach presented here is the first step towards a more ambitious goal of endowing an artificial agent with the ability to recognise and predict others’ intentions. Our approach is based on the associative self-organising map, a variant of the self-organising map capable of learning to associate its activity with different inputs over time, where inputs are processed observations of others’ actions. We have evaluated our system in two different experimental scenarios obtaining promising results: the system demonstrated an ability to learn discrim…

action recognitionArtificial neural networkneural networkbusiness.industryComputer scienceinternal simulationassociative self-organising map; neural network; action recognition; internal simulation; intention understandingassociative self-organising mapSelf organising mapsMachine learningcomputer.software_genreHuman-Computer InteractionContinuationintention understandingArtificial IntelligenceAction recognitionArtificial intelligencebusinesscomputerSoftwareAssociative propertyConnection Science
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Inoculación de estrés en la adolescencia: atenuación de los efectos reforzantes y motivacionales del etanol inducido por estrés social en ratones mac…

2021

Numerosos estudios han demostrado que la exposición a estrés social está relacionada con un mayor riesgo a desarrollar un trastorno por abuso de sustancias. Las experiencias estresantes durante la adolescencia pueden afectar al desarrollo del cerebro, ejerciendo así una influencia profunda y duradera en el desarrollo mental y la salud psicológica. Existe una hipótesis relacionada con la exposición al estrés en etapas tempranas de la vida que presupone que los individuos que han experimentado un estrés de moderada o baja intensidad, pueden adquirir cierta resistencia a exposiciones más profundas en la adultez. En este estudio nos propusimos estudiar esta hipótesis como una forma de potenciar…

adolescenciaetanolestrés:PSICOLOGÍA [UNESCO]UNESCO::PSICOLOGÍAratones macho
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Harmonic Balance Method and Stability of Discontinuous Systems

2019

The development of the theory of discontinuous dynamical systems and differential inclusions was not only due to research in the field of abstract mathematics but also a result of studies of particular problems in mechanics. One of first methods, used for the analysis of dynamics in discontinuous mechanical systems, was the harmonic balance method developed in the thirties of the 20th century. In our work the results of analysis obtained by the method of harmonic balance, which is an approximate method, are compared with the results obtained by rigorous mathematical methods and numerical simulation. peerReviewed

advanced machinesdynamics and controladvanced structuresstabilitynonlinear systemsdynaamiset systeemit
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A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series

2021

Sleep scoring is a fundamental but time-consuming process in any sleep laboratory. Automatic sleep scoring is crucial and urgent to help address the increasing unmet need for sleep research. Therefore, this paper aims to develop an end-to-end deep learning architecture using raw polysomnographic recordings to automate sleep scoring. The proposed model adopts two-dimensional convolutional neural networks (2D-CNN) to automatically learn features from multi-modality signals, together with a "squeeze and excitation" block for recalibrating channel-wise feature responses. The learnt representations are finally fed to a softmax classifier to generate predictions for each sleep stage. The model pe…

aikasarjatComputer science02 engineering and technologytransfer learningMachine learningcomputer.software_genreConvolutional neural networkuni (lepotila)polysomnography0202 electrical engineering electronic engineering information engineeringSleep researchFeature (machine learning)aivotutkimusBlock (data storage)multimodality analysissignaalinkäsittelybusiness.industryunitutkimusDeep learningSleep laboratorySIGNAL (programming language)deep learningsignaalianalyysi020206 networking & telecommunicationsautomatic sleep scoringkoneoppiminen020201 artificial intelligence & image processingArtificial intelligenceSleep (system call)businesscomputer2020 28th European Signal Processing Conference (EUSIPCO)
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Endotyping allergic rhinitis in children: A machine learning approach.

2021

Introduction: The diversity of allergic rhinitis (AR) phenotypes is particularly evident in childhood, suggesting the need to analyze and identify new approaches to capture such clinical heterogeneity. Nasal cytology (NC) is a very useful diagnostic tool for identifying and quantifying nasal inflammation. Data-driven approaches such as latent class analysis (LCA) assign subjects to classes based on their characteristics. We hypothesized that LCA based on NC, including the assessment of neutrophils, eosinophils, and mast cells, may be helpful for identifying AR endotypes in children. Methods: A total of 168 children were enrolled. Sociodemographic characteristics and detailed medical history…

allergic rhinitisallergic rhinitis children endotypes latent class analysis nasal cytologyImmunologyRhinitis Allergic SeasonalRhinitis Allergicnasal cytologyEosinophilsMachine LearningchildrenendotypesPediatrics Perinatology and Child Healthlatent class analysisImmunology and AllergyHumansRhinitisSkin TestsPediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology
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Alteraciones neurológicas (cognitivas y motoras) en ratas expuestas perinatalmente a pesticidas contaminantes ambientales. Mecanismos moleculares imp…

2016

El uso de substancias químicas en agricultura y en el hogar para combatir una gran variedad de plagas ha sido generalizado durante todo el siglo pasado, ya que de lo contrario estas plagas menguarían la producción de las cosechas como fuente de alimento. Sin embargo estos beneficios vienen asociados con una serie de perjuicios ya no sólo a nivel de ecosistemas (pérdida de diversidad) sino que conllevan consecuencias para la salud humana. Debido a que la mayoría de los pesticidas actúan sobre el sistema nervioso de los insectos y los procesos neuroquímicos son similares a los del sistema nervioso de humanos, los hace especialmente peligrosos por su neurotoxicidad. En los últimos años se ha o…

alteraciones neurológicasaprendizajehembras:CIENCIAS DE LA VIDA::Neurociencias [UNESCO]diferencias de génerocontaminantes ambientalesUNESCO::CIENCIAS DE LA VIDA::Neurociencias::Neuroquímica:CIENCIAS MÉDICAS ::Toxicología [UNESCO]pesticidas:CIENCIAS DE LA VIDA [UNESCO]UNESCO::CIENCIAS MÉDICAS ::Toxicologíaneurotóxiconeurotoxicidaddiferencias de sexoUNESCO::CIENCIAS DE LA VIDA::Neurociencias:CIENCIAS DE LA VIDA::Neurociencias::Neuroquímica [UNESCO]UNESCO::CIENCIAS DE LA VIDAneurobiologíamachosmecanismos molecularescomportamiento animal
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Effects of progressive decrease of feeding frequency and re-feeding on production parameters, stomach capacity and muscle nutritional value in rainbo…

2020

Feeds and feeding constitute the major part of costs in intensive aquaculture. Any action to reduce feeding costs without negatively affecting fish production parameters and flesh quality would improve profitability of farming. Therefore, we studied the effects of feeding frequency on production parameters, stomach capacity and nutritional value of muscle in juvenile rainbow trout (Oncorhynchus mykiss) in an experiment with two stages. First, during the nine-week “starvation period” we fed rainbow trout (initial weight c. 40 g) with four different feeding protocols in an attempt to adapt the fish to a progressive decrease in the number of feeding days. During the second stage, a four-week “…

amino acidsfeed conversion ratiosalmonidsruokintalohikalatrasvahapotaminohapotstomach volumekasvufatty acidscompensatory growthrehut
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Un groupe statuaire complexe à Autun : essai d’identification

2012

Au cours d’un diagnostic réalisé au nord-ouest de la ville d’Autun, à proximité du rempart d’origine augustéenne, un fragment de groupe statuaire a été trouvé au croisement de deux rues antiques. Reposant sur le sol de circulation, il semble avoir été abandonné au cours de l’Antiquité tardive ou du haut Moyen Age. Il se compose d’un personnage cuirassé (cuirasse musclée) vraisemblablement représenté de dos. Il s’agirait d’une gigantomachie, en ronde-bosse (sculpté sur trois cotés), la face principale a été délitée par la cassure de l’arkose taillée en délit (les bancs géologiques locaux sont impuissants à fournir la hauteur nécessaire à ce groupe). Sur ce drapé, on voit se lover dans une at…

analyse des matériaux[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryHistory & Archaeologytraitement tridimensionnelAMDportraitARC015000ArchéologieHerculegroupe statuaireMinervestatuary groupsculptureComputingMilieux_MISCELLANEOUSserpentsnake[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistorymarbregigantomachychapiteauarmorgigantomachiecollection d'antiquesRhône R[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistorycuirasseCésarbronzes
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Rademacherin lause

2008

analyysimittateoriaRademacher HansLipschitz-kuvaukset
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A novel pilot study of automatic identification of EMF radiation effect on brain using computer vision and machine learning

2020

Abstract Electromagnetic field (EMF) radiations from mobile phones and cell tower affect brain of humans and other organisms in many ways. Exposure to EMF could lead to neurological changes causing morphological or chemical changes in the brain and other internal organs. Cellular level analysis to measure and identify the effect of mobile radiations is an expensive and long process as it requires preparing the cell suspension for the analysis. This paper presents a novel pilot study to identify changes in brain morphology under EMF exposure considering drosophila melanogaster as a specimen. The brain is automatically segmented, obtaining microscopic images from which discriminatory geometri…

animal structuresComputer science0206 medical engineeringBiomedical EngineeringHealth InformaticsImage processingFeature selection02 engineering and technologyMachine learningcomputer.software_genre03 medical and health sciencesNaive Bayes classifier0302 clinical medicineComputer visionTime complexityArtificial neural networkbusiness.industryBrain morphometry020601 biomedical engineeringRandom forestSupport vector machineSignal ProcessingArtificial intelligencebusinesscomputer030217 neurology & neurosurgeryBiomedical Signal Processing and Control
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