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Добірка наукової літератури з теми "Représentation de l’incertitude"
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Статті в журналах з теми "Représentation de l’incertitude"
Tchamen, Georges Williams, and Jérémie Gaucher. "Évaluation de l’incertitude due au modèle de représentation du réservoir dans les analyses de rupture de barrageLe présent ouvrage fait partie d’une série d’articles publiés dans ce numéro spécial consacré au génie hydrotechnique." Canadian Journal of Civil Engineering 37, no. 7 (July 2010): 980–90. http://dx.doi.org/10.1139/l10-034.
Повний текст джерелаGalbraith, John W. "Les progrès dans les prévisions : météorologie et économique." Articles 81, no. 4 (April 12, 2007): 559–93. http://dx.doi.org/10.7202/014910ar.
Повний текст джерелаArnaud, Aurélie, and Paule Annick Davoine. "Approche cartographique et géovisualisation pour la représentation de l’incertitude. Application à l’information dédiée aux risques naturels." Revue internationale de géomatique 21, no. 2 (June 30, 2011): 205–24. http://dx.doi.org/10.3166/rig.21.205-224.
Повний текст джерелаMesser, L., M. Rinagel, P. M. Duret, L. Spielmann, L. Widawski, J. Sibilia, and A. C. Lomo Myazhiom. "Représentation sociale et vécue de l’incertitude chez les patients atteints de spondyloarthrite et de polyarthrite rhumatoïde : étude qualitative." Revue du Rhumatisme 88 (December 2021): A30—A31. http://dx.doi.org/10.1016/j.rhum.2021.10.042.
Повний текст джерелаBellot, Céline. "Les jeunes de la rue : disparition ou retour des enjeux de classe ?" Lien social et Politiques, no. 49 (June 30, 2004): 173–82. http://dx.doi.org/10.7202/007912ar.
Повний текст джерелаSlights, William W. E. "The Narrative Heart of the Renaissance." Renaissance and Reformation 38, no. 1 (January 1, 2002): 5–23. http://dx.doi.org/10.33137/rr.v38i1.8746.
Повний текст джерелаApril, Nicole, Chantale Audet, Louise Guyon, and Hélène Gagnon. "Représentations sociales et consommation d’alcool pendant la grossesse." Drogues, santé et société 9, no. 2 (July 21, 2011): 17–48. http://dx.doi.org/10.7202/1005299ar.
Повний текст джерелаVega, Anne, and Fanny Soum-Poulayet. "Entre rationalité scientifique et croyances individuelles." Hors-thème 34, no. 3 (September 14, 2011): 229–48. http://dx.doi.org/10.7202/1006211ar.
Повний текст джерелаBioy, A., and B. Lionet. "Mobilité psychique et douleur chronique : étude phénoménologique du vécu de 14 personnes souffrant de douleur chronique." Douleur et Analgésie 32, no. 3 (September 2019): 165–70. http://dx.doi.org/10.3166/dea-2019-0072.
Повний текст джерелаSchmit, Gérard. "L’adolescent, les parents et les psys." Perspectives Psy 61, no. 1 (January 2022): 46–53. http://dx.doi.org/10.1051/ppsy/2022611046.
Повний текст джерелаДисертації з теми "Représentation de l’incertitude"
Rusch, Roxanne. "Mesures indirectes de rotation effectuées à partir de l’antenne sismique du LSBB. Quantification et représentation graphique de l’incertitude." Thesis, Université Côte d'Azur, 2020. https://tel.archives-ouvertes.fr/tel-03177660.
Повний текст джерелаAnalyzing the rotational motions of the seismic wave field is useful for a multitude of applications ranging from wave field decomposition to geological structure estimation or source inversion. Rotational motions can be indirectly estimated (array-derived rotations) from a three translational components seismic array such as the ones deployed by the Low Noise Inter-Disciplinary Underground Science & Technology laboratory (LSBB) since 2006. In order to be able to interpret the results obtained, it is necessary to know the uncertainty attributed to the rotational measurements. However, uncertainty associated to array-derived rotation has only slightly been approached in the literature. The goal of this thesis was to develop two methods. The first method was used to quantify the deterministic uncertainty associated with array-derived rotations as a function of wavelengths. The second method was used to graphically represent this quantified uncertainty on rotation measurements. Both methods were applied to the Mw 6.2 Amatrice (Italy) earthquake that occurred on the 24th of August 2016 at 01.36 am. This one was recorded by the three translational components (3C) array of the LSBB. The vertical component of array-derived rotation as well as its associated uncertainty were respectively validated against a direct rotation measurement and a statistical uncertainty. The results of this thesis infer that in order to have an uncertainty lower than 10%, then care must be taken, in setting up the seismic array (sensors’ alignment, positioning, calibration), beyond the standards accepted for most seismic array. Extending on this thesis could offers developments in earthquakes characterization from 3C of array-derived rotation
Shinde, Krushna. "Interval uncertainty method to treat inconsistent measurements in inverse problems." Thesis, Compiègne, 2021. http://www.theses.fr/2021COMP2594.
Повний текст джерелаThe inverse problem consists of finding the parameter values of a physical model given a set of measurements. In mechanical engineering problems, material behavior’s characterization requires an inverse method to identify the material parameters. The deterministic identification problem is generally sensitive to data, and one way to resolve this issue is to consider uncertainties in the data. While several such methods exist in the literature, most of them use least-square minimization or Bayesian approaches. This thesis explores how non-probabilistic uncertainty (interval-based) approaches can help obtain a solution to the inverse problem, particularly when measurements are inconsistent with one another. Our approachintrinsically differs from the previously mentioned ones. It does not rely on minimizing the average error but rather on selecting a subset of consistent measurements. The identification strategy is based on the set theory developed, which allowed us to take into account both prior information about the parameters and measurement uncertainty in the form of sets (interval or boxes) during the inversion process. In this strategy, we developed some indicators of consistency of the measurements to characterize inconsistent measurements, i.e., outliers in the data. We applied this strategy to identify the elastic parameters of an isotropic material. The main advantage of this strategy is that it helps to obtain a feasible set of parameters, but that it can also detect the outliers among noisy measurements. The strategy is subsequently combined with surrogate modeling for identification problems in high dimensional settings. We also applied our strategy to detect damage in the material