Multi-level aircraft feature representation and selection for aviation environmental impact analysis

Z Gao, SI Kampezidou, A Behere, TG Puranik… - … Research Part C …, 2022 - Elsevier
A wholesome understanding of aviation's environmental impacts is indispensable to the
realization of a sustainable future of aviation. An accurate assessment of aircraft features …

A sensitivity analysis based trade-off between probabilistic model identification and statistical estimation

C Surget, S Dubreuil, J Morio, C Mattrand… - Reliability Engineering & …, 2025 - Elsevier
In a context of uncertainty quantification, the probabilistic model of a random vector at the
input of a computational code is not always known. An identification of the joint distribution …

Probabilistic representatives mining (prem): A clustering method for distributional data reduction

Z Gao, TG Puranik, DN Mavris - AIAA Journal, 2022 - arc.aiaa.org
Complex computations and analyses on massive data sets can be impractical or infeasible.
Data reduction is a crucial problem in the era of big data to obtain a reduced representation …

Parametric uncertainty quantification of aviation environmental design tool

D Lim, Y Li, MJ LeVine, M Kirby… - … Analysis and Optimization …, 2018 - arc.aiaa.org
Aviation Environmental Design Tool (AEDT), developed by the US Federal Aviation
Administration, is a comprehensive computer model that estimates environmental impacts …

Étude de l'influence de l'échantillonnage statistique et des incertitudes d'inférence probabiliste sur la variance d'un estimateur

C Surget, S Dubreuil, J Morio, C Mattrand… - … Congrès Français de …, 2022 - cnrs.hal.science
Les enjeux industriels actuels nécessitent des essais mécaniques pouvant être coûteux et
limitant ainsi la quantité de données à partir desquelles une inférence statistique est …