Combined machine learning - 3D physics based approach for building damage evaluation: the case of L’Aquila 2009
- DOI
- 10.1038/s41598-026-45377-5
- Published
- 2026-03-27
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-45377-5,
title = {Combined machine learning - 3D physics based approach for building damage evaluation: the case of L’Aquila 2009},
author = {F. Di Michele and D. Pera and I. Mazzieri and C. Smerzini and E. Stagnini and V. Kastelic and M. M. C. Carafa and R. Aloisio and B. Rubino and P. Marcati},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-45377-5},
url = {https://doi.org/10.1038/s41598-026-45377-5}
}RIS
TY - JOUR TI - Combined machine learning - 3D physics based approach for building damage evaluation: the case of L’Aquila 2009 AU - F. Di Michele AU - D. Pera AU - I. Mazzieri AU - C. Smerzini AU - E. Stagnini AU - V. Kastelic AU - M. M. C. Carafa AU - R. Aloisio AU - B. Rubino AU - P. Marcati PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-45377-5 UR - https://doi.org/10.1038/s41598-026-45377-5 ER -
APA
Michele, F. D., Pera, D., Mazzieri, I., Smerzini, C., Stagnini, E., Kastelic, V., Carafa, M. M. C., Aloisio, R., Rubino, B., & Marcati, P. (2026). Combined machine learning - 3D physics based approach for building damage evaluation: the case of L’Aquila 2009. Scientific Reports. https://doi.org/10.1038/s41598-026-45377-5
Source records
- crossref · retrieved 2026-11-03T18:58:11.849Z