| Improving aircraft performance using machine learning: A review S Le Clainche, E Ferrer, S Gibson, E Cross, A Parente, R Vinuesa Aerospace Science and Technology, 108354, 2023 | 104 | 2023 |
| Physics-Informed Machine Learning for Structural Health Monitoring EJ Cross, SJ Gibson, MR Jones, DJ Pitchforth, S Zhang, TJ Rogers Structural Health Monitoring Based on Data Science Techniques, 347-367, 2022 | 58 | 2022 |
| A spectrum of physics-informed Gaussian processes for regression in engineering EJ Cross, TJ Rogers, DJ Pitchforth, SJ Gibson, S Zhang, MR Jones Data-Centric Engineering 5, e8, 2024 | 14 | 2024 |
| Distributions of fatigue damage from data-driven strain prediction using Gaussian process regression SJ Gibson, TJ Rogers, EJ Cross Structural Health Monitoring 22 (5), 3065-3076, 2023 | 7 | 2023 |
| Data-driven strain prediction models and fatigue damage accumulation SJ Gibson, TJ Rogers, EJ Cross Proceedings of the 29th international conference on noise and vibration …, 2020 | 5 | 2020 |
| Integrating Physical Knowledge into Gaussian Process Regression Models for Probabilistic Fatigue Assessment SJ Gibson, TJ Rogers, EJ Cross European Workshop on Structural Health Monitoring, 472-481, 2022 | 2 | 2022 |
| Damage-informed cost functions for improving data-driven fatigue prediction SJ GIBSON, EJ CROSS | | |
