Found: 17
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Uncertainty‐aware structural damage warning system using deep variational composite neural networks.
- Published in:
- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3345, doi. 10.1002/eqe.3892
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- Article
Simulation‐based methodology to identify damage indicators and safety thresholds for post‐earthquake evaluation of structures.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3455, doi. 10.1002/eqe.3876
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- Article
Multi‐channel response reconstruction using transformer based generative adversarial network.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3369, doi. 10.1002/eqe.3960
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- Article
A deep learning method to monitor axial pressure and shear deformation of rubber bearings under coupled compression and shear loading.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3304, doi. 10.1002/eqe.3895
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- Article
Machine‐learning‐based optimization framework to support recovery‐based design.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3256, doi. 10.1002/eqe.3860
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- Article
EESD special issue: AI and data‐driven methods in earthquake engineering – (Part 2).
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3197, doi. 10.1002/eqe.3974
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- Article
Geometry‐guided semantic segmentation for post‐earthquake buildings using optical remote sensing images.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3392, doi. 10.1002/eqe.3966
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- Article
Collaborative filtering‐based collapse fragility assessment.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3322, doi. 10.1002/eqe.3963
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- Article
Unsupervised machine learning for detecting soil layer boundaries from cone penetration test data.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3201, doi. 10.1002/eqe.3961
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- Article
Deep neural network‐based regional seismic loss assessment considering correlation between EDP residuals of building structures.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3414, doi. 10.1002/eqe.3775
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- Article
Machine learning‐based prediction of the seismic response of fault‐crossing natural gas pipelines.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3238, doi. 10.1002/eqe.3945
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- Article
Seismic damage prediction of RC buildings using machine learning.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3504, doi. 10.1002/eqe.3907
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- Article
Issue information.
- Published in:
- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3193, doi. 10.1002/eqe.3685
- Publication type:
- Article
Generalized stacked LSTM for the seismic damage evaluation of ductile reinforced concrete buildings.
- Published in:
- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3477, doi. 10.1002/eqe.3869
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- Article
Base‐isolation design of shear wall structures using physics‐rule‐co‐guided self‐supervised generative adversarial networks.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3281, doi. 10.1002/eqe.3862
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- Article
Efficient regional seismic risk assessment via deep generative learning of surrogate models.
- Published in:
- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3435, doi. 10.1002/eqe.3849
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- Article
A continuous Bayesian network regression model for estimating seismic liquefaction‐induced settlement of the free‐field ground.
- Published in:
- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 11, p. 3216, doi. 10.1002/eqe.3804
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- Article