Most cited
This page lists all time most cited articles for this title. Please use the publication date filters on the left if you would like to restrict this list to recently published content, for example to articles published in the last three years. The number of times each article was cited is displayed to the right of its title and can be clicked to access a list of all titles this article has been cited by.
- Cited by 2
Given-data probabilistic fatigue assessment for offshore wind turbines using Bayesian quadrature
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- Published online by Cambridge University Press:
- 13 March 2024, e5
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- Cited by 2
Quantum computing for data-centric engineering and science
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- Published online by Cambridge University Press:
- 02 December 2022, e36
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- Cited by 2
Trajectory design via unsupervised probabilistic learning on optimal manifolds
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- Published online by Cambridge University Press:
- 23 August 2022, e26
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- Cited by 2
Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxes
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- Published online by Cambridge University Press:
- 09 January 2023, e1
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- Cited by 2
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures
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- Published online by Cambridge University Press:
- 29 November 2022, e34
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- Cited by 1
Development of a digital twin operational platform using Python Flask—ADDENDUM
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- Published online by Cambridge University Press:
- 06 April 2022, e13
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- Cited by 1
Bottom-up forecasting: Applications and limitations in load forecasting using smart-meter data
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- Published online by Cambridge University Press:
- 07 June 2023, e14
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- Cited by 1
AI-assisted modeling of capillary-driven droplet dynamics
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- Published online by Cambridge University Press:
- 27 October 2023, e24
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- Cited by 1
Neural network ensembles and uncertainty estimation for predictions of inelastic mechanical deformation using a finite element method-neural network approach
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- Published online by Cambridge University Press:
- 23 October 2023, e23
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- Cited by 1
A mapping method for anomaly detection in a localized population of structures
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- Published online by Cambridge University Press:
- 09 August 2022, e25
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- Cited by 1
Multiphase segmentation of digital material images
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- 02 February 2023, e5
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- Cited by 1
Markov chain Monte Carlo for a hyperbolic Bayesian inverse problem in traffic flow modeling
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- 22 February 2022, e4
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- Cited by 1
Probabilistic selection and design of concrete using machine learning
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- Published online by Cambridge University Press:
- 20 April 2023, e9
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- Cited by 1
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep convolutional neural network—ADDENDUM
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- 04 April 2022, e9
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- Cited by 1
Finite element model updating with quantified uncertainties using point cloud data
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- 23 June 2023, e16
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- Cited by 1
Coevolutionary strategies at the collective level for improved generalism
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- Published online by Cambridge University Press:
- 06 February 2023, e6
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- Cited by 1
On improved fail-safe sensor distributions for a structural health monitoring system
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- Published online by Cambridge University Press:
- 07 September 2022, e27
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- Cited by 1
Active-learning-based nonintrusive model order reduction
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- Published online by Cambridge University Press:
- 09 January 2023, e2
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- Cited by 1
Using graph neural networks for wall modeling in compressible anisothermal flows
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- Published online by Cambridge University Press:
- 10 April 2024, e10
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- Cited by 1
Democratizing electricity distribution network analysis
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- Published online by Cambridge University Press:
- 10 January 2023, e3
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