Search results for "ICT"

showing 10 items of 7961 documents

Compte rendu de : Irène Favier, L'usine théâtre du pouvoir. Direction et salariés à Faverge, mars-avril 1976, Tours, Presses universitaires François-…

2017

National audience

[ SHS.HIST ] Humanities and Social Sciences/History[SHS.HIST] Humanities and Social Sciences/Historyconflictualité ouvrièrehistoire politique et sociale[SHS.HIST]Humanities and Social Sciences/HistoryComputingMilieux_MISCELLANEOUS
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 El consenso puesto a prueba del conflicto : nueva mirada a la transición española

2013

International audience

[ SHS.HIST ] Humanities and Social Sciences/History[SHS.HIST] Humanities and Social Sciences/Historytransición española[SHS.HIST]Humanities and Social Sciences/HistoryComputingMilieux_MISCELLANEOUSconflicto
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La Transición, ¿un mito creado por y para la televisión

2015

This article deals with the representations of Spanish transition to democracy shown by television in Spain from 1995 to nowadays. Without claiming to be exhaustive, it analyses the recycling as well as the re-creating of scenes and figures which already belong to History although they are still present in collective memory. The analysis of a few fictional and informative programmes will enable us to sketch out a cartography of the representations of the transition on television. We will see how they get organized around TV formats and genres (series and mini-series, biopics and political thrillers), how they are related to other previous programmes or, on the contrary, how they attempt to …

[ SHS.HIST ] Humanities and Social Sciences/History[SHS.INFO]Humanities and Social Sciences/Library and information sciencesmedia_common.quotation_subjectBroadcastingCollective memory[SHS.INFO] Humanities and Social Sciences/Library and information sciencesPoliticsdemocracia[ SHS.INFO ] Humanities and Social Sciences/Library and information sciencesComputingMilieux_MISCELLANEOUSmedia_commonbusiness.industrytransiciónTransition (fiction)TabooMedia studiestelevisiónGeneral MedicineMythologyArtDemocracyWonder[SHS.HIST] Humanities and Social Sciences/History[SHS.HIST]Humanities and Social Sciences/HistorybusinessHumanities
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« Victimes et rebelles » et « Le Massacre de Wassy »

2014

International audience

[ SHS.HIST ] Humanities and Social Sciences/Historyrebelles[SHS.HIST] Humanities and Social Sciences/HistoryVictimes[SHS.HIST]Humanities and Social Sciences/HistoryMassacre de WassyComputingMilieux_MISCELLANEOUS
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Précompréhension, préjugé

2015

International audience; no abstract

[ SHS.PHIL ] Humanities and Social Sciences/Philosophy[SHS.PHIL] Humanities and Social Sciences/Philosophy[SHS.PHIL]Humanities and Social Sciences/PhilosophyInterprétationEntrée de dictionnairePhilosophieComputingMilieux_MISCELLANEOUS
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Indicateur visuel de l'état de fin de vie d'un réservoir composite

2013

National audience

[ SPI.MAT ] Engineering Sciences [physics]/Materialsprédiction de rupturerupture de fibresRéservoirs hautes pression[SPI.MAT] Engineering Sciences [physics]/MaterialsComputingMilieux_MISCELLANEOUS[SPI.MAT]Engineering Sciences [physics]/Materials
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A Neural Network Meta-Model and its Application for Manufacturing

2015

International audience; Manufacturing generates a vast amount of data both from operations and simulation. Extracting appropriate information from this data can provide insights to increase a manufacturer's competitive advantage through improved sustainability, productivity, and flexibility of their operations. Manufacturers, as well as other industries, have successfully applied a promising statistical learning technique, called neural networks (NNs), to extract meaningful information from large data sets, so called big data. However, the application of NN to manufacturing problems remains limited because it involves the specialized skills of a data scientist. This paper introduces an appr…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]0209 industrial biotechnology[SPI] Engineering Sciences [physics]Computer scienceneural networkBig dataContext (language use)02 engineering and technologycomputer.software_genreMachine learningCompetitive advantageData modeling[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SPI]Engineering Sciences [physics]020901 industrial engineering & automationPMML0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]data analyticsArtificial neural networkbusiness.industrymeta-modelMetamodelingmanufacturingAnalyticsSustainabilityPredictive Model Markup LanguageData analysis020201 artificial intelligence & image processingData miningArtificial intelligencebusinesscomputer
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Application of LSTM architectures for next frame forecasting in Sentinel-1 images time series

2020

L'analyse prédictive permet d'estimer les tendances des évènements futurs. De nos jours, les algorithmes Deep Learning permettent de faire de bonnes prédictions. Cependant, pour chaque type de problème donné, il est nécessaire de choisir l'architecture optimale. Dans cet article, les modèles Stack-LSTM, CNN-LSTM et ConvLSTM sont appliqués à une série temporelle d'images radar sentinel-1, le but étant de prédire la prochaine occurrence dans une séquence. Les résultats expérimentaux évalués à l'aide des indicateurs de performance tels que le RMSE et le MAE, le temps de traitement et l'index de similarité SSIM, montrent que chacune des trois architectures peut produire de bons résultats en fon…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]FOS: Computer and information sciencesApprentissage profondComputer Science - Machine LearningImage and Video Processing (eess.IV)[INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]PrévisionComputer Science - Neural and Evolutionary ComputingDeep Learning AlgorithmsPrédiction[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]Electrical Engineering and Systems Science - Image and Video ProcessingLand cover change[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Machine Learning (cs.LG)SARIMA[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]FOS: Electrical engineering electronic engineering information engineeringSatellite imagesNeural and Evolutionary Computing (cs.NE)LSTMPredictionForecastingImages satellitaires
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Event-Based Trajectory Prediction Using Spiking Neural Networks

2021

International audience; In recent years, event-based sensors have been combined with spiking neural networks (SNNs) to create a new generation of bio-inspired artificial vision systems. These systems can process spatio-temporal data in real time, and are highly energy efficient. In this study, we used a new hybrid event-based camera in conjunction with a multi-layer spiking neural network trained with a spike-timing-dependent plasticity learning rule. We showed that neurons learn from repeated and correlated spatio-temporal patterns in an unsupervised way and become selective to motion features, such as direction and speed. This motion selectivity can then be used to predict ball trajectory…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]PolynomialComputer scienceNeuroscience (miscellaneous)Neurosciences. Biological psychiatry. Neuropsychiatry02 engineering and technologyunsupervised learningSNN[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]STDP03 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineLearning rule0202 electrical engineering electronic engineering information engineeringEvent (probability theory)Original ResearchSpiking neural networkQuantitative Biology::Neurons and Cognitionmotion selectivitybusiness.industry[SCCO.NEUR]Cognitive science/Neuroscience[SCCO.NEUR] Cognitive science/NeuroscienceProcess (computing)Pattern recognitionspiking cameraTrajectoryball trajectory predictionUnsupervised learning020201 artificial intelligence & image processingArtificial intelligencebusiness030217 neurology & neurosurgeryEfficient energy useNeuroscienceRC321-571Frontiers in Computational Neuroscience
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Approche multicritère pour la caractérisation des adventices par imagerie

2019

La réduction des produits phytosanitaires représente un des enjeux majeurs du secteur agricole. Les plans gouvernementaux Ecophyto, Ecophyto II et Ecophyto II+ visent à réduire fortement leurs usages et les solutions actuelles ne permettent pas d’obtenir les résultats escomptés. La détection des adventices par imagerie est un des axes de travail devant permettre cette réduction. La qualité de la discrimination cultures/adventices est fortement liée au type de méthodes utilisées, à la résolution spatiale des images et au stade de développement des plantes présentes. L'objectif de ce travail, est donc d'évaluer l’impact des différents critères pouvant être extraits depuis des images acquises …

[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingVision par ordinateurPrédiction[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil studyStatistiqueAnalyse d'image
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