Thèse
Astrophysique stellaire et solaire
Affichage des résultats 1 à 12 sur 27 au total
Astrophysique stellaire et solaire : 1 à 12 sur 27 au total
-
-
Communication dans un congrès
Atilla Kaan Alkan, Felix Grezes, Cyril Grouin, Fabian Schüssler, Pierre Zweigenbaum. Enriching a Time-Domain Astrophysics Corpus with Named Entity, Coreference, and Astrophysical Relationship Annotations. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Apr 2024, Turin, Italy. pp.6177-6188. ⟨hal-04780619⟩
-
Communication dans un congrès
Siham El Garroussi, Sophie Ricci, M. de Lozzo, N. Goutal, D. Lucor. Towards the reduction of uncertainty in hydraulic modles for better flood forecasting. Simhydro 21, Jun 2021, Nice, France. ⟨hal-04739507⟩
-
Communication dans un congrès
Mélanie C. Rochoux, Bastien Nony, Cong Zhang, Didier Lucor, Thomas Jaravel, et al.. Assimilating fire front position and emulating boundary-layer flow simulations for wildland fire behavior ensemble prediction and reanalysis - invited conference. Séminaire UQSay 'Uncertainty Quantification', May 2022, Online, France. ⟨hal-04741957⟩
-
Communication dans un congrès
Mélanie C. Rochoux, A. Collin, Aurélien Costes, C. Zhang, A. Trouvé, et al.. Shape-oriented sensitivity analysis and data assimilation for wildland fire applications. International EnKF workshop 2021, Jun 2021, online, France. ⟨hal-04739511⟩
-
Communication dans un congrès
S. El Garroussi, Sophie Ricci, M. de Lozzo, N. Goutal, D. Lucor. Tackling uncertainty in flood forecasting model via a machine-learning based- surrogate model. UNCECOMP2021, 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Jun 2021, Athènes, Greece. ⟨hal-04739508⟩
-
Communication dans un congrès
Siham El Garroussi, Sophie Ricci, M. de Lozzo, P. Roy, Isabelle Mirouze, et al.. Contribution and on-going research on sensitivity analysis and surrogate models at CERFACS with an application in 2D hydrodynamics. OpenTURNS Journée Utilisateurs, Jun 2019, Paris Saclay, France. ⟨hal-04730634⟩
Année de publication
-
Communication dans un congrès
Mélanie C. Rochoux, A. Costes, Ronan Paugam, G. Rea, L. Thouron, et al.. Emulating environmental modeling systems in presence of uncertainties: overview and challenges. Workshop on Frontiers of Uncertainty Quantification in Fluid Dynamics, Pisa,11-13 September, Italy, Sep 2019, Pise, Italy. ⟨hal-04730609⟩
Année de publication
-
Communication dans un congrès
Siham El Garroussi, Sophie Ricci, M. de Lozzo, N. Goutal, Didier Lucor. Mixture of polynomial chaos expansions for uncertainty propagation. Telemac User Conférence, Oct 2019, Toulouse, France. ⟨hal-04730601⟩
-
Article dans une revue
Inoussa Ouedraogo, Huyen Nguyen, Patrick Bourdot. Immersive analytics with augmented reality in meteorology: an exploratory study on ontology and linked data. Virtual Reality, 2024, 28 (3), pp.144. ⟨10.1007/s10055-024-01040-w⟩. ⟨hal-04695408⟩
-
Thèse
Bastien Nony. Reduced-order models under uncertainties for microscale atmospheric pollutant dispersion in urban areas : exploring learning algorithms for high-fidelity model emulation. Ocean, Atmosphere. Université Paul Sabatier - Toulouse III, 2023. English. ⟨NNT : 2023TOU30156⟩. ⟨tel-04390849⟩
-
Communication dans un congrès
Alexandre Goupy, Christophe Millet, Didier Lucor. Infrasound propagation in multiple-scale ran- dom media using generalized polynomial chaos. The Journal of the Acoustical Society of America, 2019, Online, United States. pp.1900-1900, ⟨10.1121/1.5101890⟩. ⟨hal-04459982⟩