Proactive soft-failure prediction in optical transport networks via physics-inspired features and Infrastructure-as-Code orchestration.

Ali OM, Radwan AMA, Radwan OMA, Elsherbini MM

Open source

DOI
10.1038/s41598-026-52186-3
Published
2026 May 25
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 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/s41598-026-52186-3,
  title = {Proactive soft-failure prediction in optical transport networks via physics-inspired features and Infrastructure-as-Code orchestration.},
  author = {Ali OM and Radwan AMA and Radwan OMA and Elsherbini MM},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-52186-3},
  url = {https://doi.org/10.1038/s41598-026-52186-3}
}

RIS

TY  - JOUR
TI  - Proactive soft-failure prediction in optical transport networks via physics-inspired features and Infrastructure-as-Code orchestration.
AU  - Ali OM
AU  - Radwan AMA
AU  - Radwan OMA
AU  - Elsherbini MM
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-52186-3
UR  - https://doi.org/10.1038/s41598-026-52186-3
ER  - 

APA

OM, A., AMA, R., OMA, R., & MM, E. (2026). Proactive soft-failure prediction in optical transport networks via physics-inspired features and Infrastructure-as-Code orchestration.. Scientific reports. https://doi.org/10.1038/s41598-026-52186-3

Source records