YouTube is the largest video hosting platform. The site has emerged in 2005 and has achieved a continuous pattern of growth since its conception (Burgess & Green 2018). A high number of creators, viewers, subscribers and commentators act in this specific ecosystem which generates a huge amount of money. In this article, YouTube is considered as a b...
AimTo compare walking access times to automated external defibrillators (AEDs) between area-level quintiles of socioeconomic status (SES) in out-of-hospital cardiac arrest (OHCA) cases occurring in 2 major urban regions of Canada and France.MethodsThis was an international, multicenter, retrospective cohort study of adult, non-traumatic OHCA cases ...
The promising compression efficiency improvement of Versatile Video Coding (VVC) compared to High Efficiency Video Coding (HEVC) [1] comes at the cost of a non-negligible encoder-side complexity. The largely increased complexity overhead is a possible obstacle towards its industrial implementation. Many papers have proposed acceleration methods for...
L’objectif de cette étude est d’estimer la probabilité de démarrage d’un turbomoteur en tout point de l’espace des facteurs jugés influents. En l’absence de modèle physique du démarrage et de nombre limité de données, une méthode générale d’estimation de la probabilité de démarrage à travers un modèle de dégradation paramétrique est proposée. Le mo...
Degradation modeling is an effective approach for reliability assessment and predicting of remaining useful life in order to investigate the relation between failure time and degradation of a system or unit. The possibility of association between degradation of unit during time and the effects of covariates on degradation processes should be take i...
International audience
In the framework of risk assessment in nuclear accident, simulation tools are widely used to understand and model physical phenomena. These simulation tools take into account a large number of uncertain input parameters. We often use Monte-Carlo type methods to explore their range of variation: the inputs space is randomly sampled and a code run is...
In the context of supervised learning of a function by a neural network, we claim and empirically verify that the neural network yields better results when the distribution of the data set focuses on regions where the function to learn is steep. We first traduce this assumption in a mathematically workable way using Taylor expansion and emphasize a...
Record linkage is increasingly used, especially in medical studies, to combine data from different databases that refer to the same entities. The linked data can bring analysts novel and valuable knowledge that is impossible to obtain from a single database. However, linkage errors are usually unavoidable regardless of record linkage methods and ig...
