A data-driven framework for structural health monitoring using reinforcement learning and deep autoencoders.

Hadizadeh A, Tarighat A, Malian A

Open source

DOI
10.1038/s41598-026-53752-5
Published
2026 May 21
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-53752-5,
  title = {A data-driven framework for structural health monitoring using reinforcement learning and deep autoencoders.},
  author = {Hadizadeh A and Tarighat A and Malian A},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-53752-5},
  url = {https://doi.org/10.1038/s41598-026-53752-5}
}

RIS

TY  - JOUR
TI  - A data-driven framework for structural health monitoring using reinforcement learning and deep autoencoders.
AU  - Hadizadeh A
AU  - Tarighat A
AU  - Malian A
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-53752-5
UR  - https://doi.org/10.1038/s41598-026-53752-5
ER  - 

APA

A, H., A, T., & A, M. (2026). A data-driven framework for structural health monitoring using reinforcement learning and deep autoencoders.. Scientific reports. https://doi.org/10.1038/s41598-026-53752-5

Source records