Improving aircraft performance using machine learning: a review

Improving aircraft performance using machine learning: a review

20 October 2022

Elisabeth Cross

Ricardo Vinuesa

Papers citing "Improving aircraft performance using machine learning: a review"

15 / 15 papers shown

Title
ONERA's CRM WBPN database for machine learning activities, related regression challenge and first results Jacques Peter Quentin Bennehard Sébastien Heib Jean-Luc Hantrais-Gervois Frédéric Moëns AI4CE 36 0 0 05 May 2025
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning David Ramos Lucas Lacasa E. Valero G. Rubio AI4CE 27 0 0 05 May 2025
Evaluating Single Event Upsets in Deep Neural Networks for Semantic Segmentation: an embedded system perspective Jon Gutiérrez-Zaballa Koldo Basterretxea Javier Echanobe AAML 91 5 0 04 Dec 2024
Reinforced Symbolic Learning with Logical Constraints for Predicting Turbine Blade Fatigue Life Pei Li Joo-Ho Choi Dingyang Zhang Shuyou Zhang Yiming Zhang AI4CE 68 0 0 18 Nov 2024
Towards certification: A complete statistical validation pipeline for supervised learning in industry Lucas Lacasa Abel Pardo Pablo Arbelo Miguel Sánchez Pablo Yeste ... Alejandro Martínez-Cava G. Rubio Ignacio Gómez E. Valero Javier de Vicente AI4CE 34 1 0 04 Nov 2024
Rapid aerodynamic prediction of swept wings via physics-embedded transfer learning Yunjia Yang Runze Li Yufei Zhang Lu Lu Haixin Chen AI4CE 22 1 0 19 Sep 2024
Reinforcement learning for anisotropic p-adaptation and error estimation in high-order solvers D. Huergo Martín de Frutos Eduardo Jané O. Marino Gonzalo Rubio Esteban Ferrer AI4CE 28 1 0 26 Jul 2024
Aeroengine performance prediction using a physical-embedded data-driven method Tong Mo Shiran Dai An Fu Xiaomeng Zhu Shuxiao Li 25 0 0 29 Jun 2024
Reinforcement learning to maximise wind turbine energy generation Daniel Soler O. Marino D. Huergo Martín de Frutos Esteban Ferrer 14 0 0 17 Feb 2024
An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data Gulay Goktas Sever Umut Demir A. S. Satir M. C. Sahin N. K. Üre 11 2 0 27 Dec 2023
An unsupervised machine-learning-based shock sensor for high-order supersonic flow solvers A. Mateo-Gabín Kenza Tlales E. Valero E. Ferrer G. Rubio AI4CE 11 0 0 28 Jul 2023
A reinforcement learning strategy for p-adaptation in high order solvers D. Huergo G. Rubio E. Ferrer AI4CE 11 5 0 14 Jun 2023
A predictive physics-aware hybrid reduced order model for reacting flows A. Corrochano Rodolfo S. M. Freitas A. Parente S. L. Clainche AI4CE 6 5 0 24 Jan 2023
Physics-informed machine learning for Structural Health Monitoring E. Cross S. Gibson M. R. Jones D. J. Pitchforth S. Zhang T. Rogers AI4CE 35 35 0 30 Jun 2022
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 100 355 0 05 Oct 2021