Zobrazeno 1 - 10
of 544
pro vyhledávání: '"A. Jouhaud"'
Autor:
Bakkay, Mohamed Chafik, Serrurier, Mathieu, Burda, Valentin Kivachuk, Dupuy, Florian, Cabrera-Gutierrez, Naty Citlali, Zamo, Michael, Mader, Maud-Alix, Mestre, Olivier, Oller, Guillaume, Jouhaud, Jean-Christophe, Terray, Laurent
Precipitation nowcasting is of great importance for weather forecast users, for activities ranging from outdoor activities and sports competitions to airport traffic management. In contrast to long-term precipitation forecasts which are traditionally
Externí odkaz:
http://arxiv.org/abs/2203.13263
Autor:
Dupuy, Florian, Mestre, Olivier, Serrurier, Mathieu, Bakkay, Mohamed Chafik, Burdá, Valentin Kivachuk, Cabrera-Gutiérrez, Naty Citlali, Jouhaud, Jean-Christophe, Mader, Maud-Alix, Oller, Guillaume, Zamo, Michaël
Cloud cover is crucial information for many applications such as planning land observation missions from space. It remains however a challenging variable to forecast, and Numerical Weather Prediction (NWP) models suffer from significant biases, hence
Externí odkaz:
http://arxiv.org/abs/2006.16678
Autor:
Cabrera-Gutiérrez, Naty Citlali, Godé, Hadrien, Jouhaud, Jean-Christophe, Bakkay, Mohamed Chafik, Burdá, Valentin Kivachuk, Dupuy, Florian, Mader, Maud-Alix, Mestre, Olivier, Oller, Guillaume, Serrurier, Mathieu, Zamo, Michaël
Nowcasting (or short-term weather forecasting) is particularly important in the case of extreme events as it helps prevent human losses. Many of our activities, however, also depend on the weather. Therefore, nowcasting has shown to be useful in many
Externí odkaz:
http://arxiv.org/abs/2006.14515
Autor:
Belkacemi, Yazid, Coraggio, Gabriele, Brunel, Anne, Jouhaud, Annie, Ingels, Alexandre, Joly, Charlotte, Hadhri, Asma, Hassani, Wissal, Loganadane, Gokoulakrichenane, Saldana, Carolina, Ouidir, Nabila, Vega, Barbara, Debbi, Kamel, Taille, Alexandre de La
Publikováno v:
In Advances in Radiation Oncology September-October 2023 8(5)
Predicting and simulating aerodynamic fields for civil aircraft over wide flight envelopes represent a real challenge mainly due to significant numerical costs and complex flows. Surrogate models and reduced-order models help to estimate aerodynamic
Externí odkaz:
http://arxiv.org/abs/1912.04706
Publikováno v:
AIAA Journal Volume 56, Number 9, September 2018
This article presents an original methodology for the prediction of steady turbulent aerodynamic fields. Due to the important computational cost of high-fidelity aerodynamic simulations, a surrogate model is employed to cope with the significant vari
Externí odkaz:
http://arxiv.org/abs/1912.01917
Autor:
Yazid Belkacemi, MD, PhD, Gabriele Coraggio, MD, Anne Brunel, PhD, Annie Jouhaud, DM, Alexandre Ingels, MD, PhD, Charlotte Joly, MD, Asma Hadhri, MD, Wissal Hassani, MD, Gokoulakrichenane Loganadane, MD, Carolina Saldana, MD, PhD, Nabila Ouidir, MD, Barbara Vega, PhD, Kamel Debbi, MD, Alexandre de La Taille, MD, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 8, Iss 5, Pp 101255- (2023)
Purpose: Androgen deprivation therapy (ADT) may cause vasomotor symptoms (VMS) including hot flushes and sweats, which affect quality of life (QoL). Serelys Homme is a nonhormonal and a natural origin product that could affect VMS in men undergoing A
Externí odkaz:
https://doaj.org/article/ee833dcd60964a2b8625b0355ab06172
This article proposes a visualization method for multidimensional data based on: (i) Animated functional Hypothetical Outcome Plots (f-HOPs); (ii) 3-dimensional Kiviat plot; and (iii) data sonification. In an Uncertainty Quantification (UQ) framework
Externí odkaz:
http://arxiv.org/abs/1808.01217
Uncertainty Quantification (UQ) is receiving more and more attention for engineering applications in particular from robust optimization. Indeed, running a computer experiment only provides a limited knowledge in terms of uncertainty and variability
Externí odkaz:
http://arxiv.org/abs/1803.06134
Autor:
Roy, Pamphile Tupui, Moçayd, Nabil El, Ricci, Sophie, Jouhaud, Jean-Christophe, Goutal, Nicole, De Lozzo, Matthias, Rochoux, Mélanie C.
Data assimilation is widely used to improve flood forecasting capability, especially through parameter inference requiring statistical information on the uncertain input parameters (upstream discharge, friction coefficient) as well as on the variabil
Externí odkaz:
http://arxiv.org/abs/1705.01440