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 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
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
DRAT: Data risk assessment tool for university–industry collaborations
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- Published online by Cambridge University Press:
- 11 December 2020, e17
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Bayesian parameter inference for shallow subsurface modeling using field data and impacts on geothermal planning
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- 02 November 2022, e32
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From industry-wide parameters to aircraft-centric on-flight inference: Improving aeronautics performance prediction with machine learning
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- 19 October 2020, e11
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Democratizing electricity distribution network analysis
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- Published online by Cambridge University Press:
- 10 January 2023, e3
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On the reproducibility of fully convolutional neural networks for modeling time–space-evolving physical systems
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- Published online by Cambridge University Press:
- 28 April 2022, e19
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Managing streamed sensor data for mobile equipment prognostics
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- 06 April 2022, e11
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A physics-based domain adaptation framework for modeling and forecasting building energy systems
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- 24 April 2023, e10
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A digital twin for ship structures—R&D project in Japan
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- 27 March 2024, e7
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