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Grey-box models for wave loading prediction

Grey-box models for wave loading prediction

10 May 2021
D. J. Pitchforth
T. Rogers
U. T. Tygesen
E. Cross
ArXivPDFHTML

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
53
1
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
30
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
29
8
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
D. Wagg
K. Worden
AI4CE
45
5
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
24
6
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
D. Wagg
K. Worden
24
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
49
94
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
67
35
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
30
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
D. Wagg
N. Dervilis
K. Worden
AI4CE
19
19
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
50
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
DRL
AI4CE
42
54
0
25 Feb 2021
1