Works matching IS 1570761X AND DT 2024 AND VI 22 AND IP 7
Results: 11
Guest editorial for the special issue on artificial intelligence, sensing and big data analytics in earthquake engineering.
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- Bulletin of Earthquake Engineering, 2024, v. 22, n. 7, p. 3387, doi. 10.1007/s10518-024-01920-1
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Seismic response of bridges employing knowledge-enhanced neural networks for the lumped plasticity modelling of RC piers.
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- Bulletin of Earthquake Engineering, 2024, v. 22, n. 7, p. 3393, doi. 10.1007/s10518-023-01825-5
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Automated image-based generation of finite element models for masonry buildings.
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- Bulletin of Earthquake Engineering, 2024, v. 22, n. 7, p. 3441, doi. 10.1007/s10518-023-01726-7
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Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions.
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- Bulletin of Earthquake Engineering, 2024, v. 22, n. 7, p. 3415, doi. 10.1007/s10518-023-01716-9
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Rapid seismic response prediction of rocking blocks using machine learning.
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- Bulletin of Earthquake Engineering, 2024, v. 22, n. 7, p. 3471, doi. 10.1007/s10518-023-01680-4
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Comparison between Bayesian updating and approximate Bayesian computation for model identification of masonry towers through dynamic data.
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- Bulletin of Earthquake Engineering, 2024, v. 22, n. 7, p. 3491, doi. 10.1007/s10518-023-01670-6
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Generative adversarial networks review in earthquake-related engineering fields.
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- Bulletin of Earthquake Engineering, 2024, v. 22, n. 7, p. 3511, doi. 10.1007/s10518-023-01645-7
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A dual Kriging-XGBoost model for reconstructing building seismic responses using strong motion data.
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- Bulletin of Earthquake Engineering, 2024, v. 22, n. 7, p. 3563, doi. 10.1007/s10518-023-01624-y
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Evolutionary numerical model for cultural heritage structures via genetic algorithms: a case study in central Italy.
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- Bulletin of Earthquake Engineering, 2024, v. 22, n. 7, p. 3591, doi. 10.1007/s10518-023-01615-z
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Earthquake scenarios for building portfolios using artificial neural networks: part II—damage and loss assessment.
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- Bulletin of Earthquake Engineering, 2024, v. 22, n. 7, p. 3627, doi. 10.1007/s10518-022-01599-2
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Earthquake scenarios for building portfolios using artificial neural networks: part I—ground motion modelling.
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- Bulletin of Earthquake Engineering, 2024, v. 22, n. 7, p. 3655, doi. 10.1007/s10518-022-01598-3
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- Article