ResearchTrend.AI
Grey-box models for wave loading prediction
v1v2 (latest)

Grey-box models for wave loading prediction

D. J. Pitchforth
T. Rogers
U. T. Tygesen
E. Cross
ArXiv (abs)PDFHTML

Papers citing "Grey-box models for wave loading prediction"

12 / 12 papers shown
Title
Data-driven Modeling in Metrology -- A Short Introduction, Current Developments and Future Perspectives
Data-driven Modeling in Metrology -- A Short Introduction, Current Developments and Future Perspectives
Linda-Sophie Schneider
Patrick Krauss
N. Schiering
Christopher Syben
Richard Schielein
Andreas Maier
AI4CE
81
3
0
24 Jun 2024
Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder
Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder
Sheikh Waqas Akhtar
DRL
55
0
0
18 Apr 2024
A spectrum of physics-informed Gaussian processes for regression in engineering
A spectrum of physics-informed Gaussian processes for regression in engineering
E. Cross
T. Rogers
D. J. Pitchforth
S. Gibson
Matthew R. Jones
59
9
0
19 Sep 2023
Towards a population-informed approach to the definition of data-driven models for structural dynamics
Towards a population-informed approach to the definition of data-driven models for structural dynamics
G. Tsialiamanis
N. Dervilis
David J. Wagg
K. Worden
AI4CE
94
6
0
19 Jul 2023
On the Integration of Physics-Based Machine Learning with Hierarchical Bayesian Modeling Techniques
On the Integration of Physics-Based Machine Learning with Hierarchical Bayesian Modeling Techniques
O. Sedehi
Antonina M. Kosikova
C. Papadimitriou
L. Katafygiotis
56
7
0
01 Mar 2023
A Meta-Learning Approach to Population-Based Modelling of Structures
A Meta-Learning Approach to Population-Based Modelling of Structures
G. Tsialiamanis
N. Dervilis
David J. Wagg
K. Worden
67
0
0
15 Feb 2023
Improving aircraft performance using machine learning: a review
Improving aircraft performance using machine learning: a review
S. L. Clainche
E. Ferrer
Sam Gibson
Elisabeth Cross
A. Parente
Ricardo Vinuesa
AI4CE
71
103
0
20 Oct 2022
Physics-informed machine learning for Structural Health Monitoring
Physics-informed machine learning for Structural Health Monitoring
E. Cross
S. Gibson
M. R. Jones
D. J. Pitchforth
S. Zhang
T. Rogers
AI4CE
105
36
0
30 Jun 2022
Constraining Gaussian processes for physics-informed acoustic emission mapping
Constraining Gaussian processes for physics-informed acoustic emission mapping
Matthew R. Jones
T. Rogers
E. Cross
AI4CE
82
16
0
03 Jun 2022
On generative models as the basis for digital twins
On generative models as the basis for digital twins
G. Tsialiamanis
David J. Wagg
N. Dervilis
K. Worden
AI4CE
50
20
0
08 Mar 2022
Using scientific machine learning for experimental bifurcation analysis of dynamic systems
Using scientific machine learning for experimental bifurcation analysis of dynamic systems
S. Beregi
David A.W. Barton
D. Rezgui
S. Neild
AI4CE
71
20
0
22 Oct 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Naoya Takeishi
Alexandros Kalousis
DRLAI4CE
90
56
0
25 Feb 2021