Most read
This page lists the top ten most read articles for this journal based on the number of full text views and downloads recorded on Cambridge Core over the last 90 days. This list is updated on a daily basis.
Construction with digital twin information systems
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- Published online by Cambridge University Press:
- 27 November 2020, e14
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Universal Digital Twin - A Dynamic Knowledge Graph
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- 06 September 2021, e14
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A spectrum of physics-informed Gaussian processes for regression in engineering
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- 27 March 2024, e8
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Scalable algorithms for physics-informed neural and graph networks
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- 29 June 2022, e24
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Development of a digital twin operational platform using Python Flask
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- 31 January 2022, e1
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Physics-informed neural networks for structural health monitoring: a case study for Kirchhoff–Love plates
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- 13 March 2024, e6
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Physics-informed artificial intelligence models for the seismic response prediction of rocking structures
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- 10 January 2024, e1
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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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Shaping the future of tunneling with data and emerging technologies
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- 29 November 2023, e29
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On generative models as the basis for digital twins
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- 31 August 2021, e11
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