A FEM-Based Machine Learning Framework for Online Stress Field Estimation in Hydropower Regulating Rings
- DOI
- 10.3390/s26165129
- Published
- 2026-08-13
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.3390/s26165129,
title = {A FEM-Based Machine Learning Framework for Online Stress Field Estimation in Hydropower Regulating Rings},
author = {Ronny Francis Ribeiro Junior and Paulo Henrique Favero Loss and Bruno Correia Macedo and Frederico de Oliveira Assuncao and Erik Leandro Bonaldi and Luiz Eduardo Borges-da-Silva},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26165129},
url = {https://doi.org/10.3390/s26165129}
}RIS
TY - JOUR TI - A FEM-Based Machine Learning Framework for Online Stress Field Estimation in Hydropower Regulating Rings AU - Ronny Francis Ribeiro Junior AU - Paulo Henrique Favero Loss AU - Bruno Correia Macedo AU - Frederico de Oliveira Assuncao AU - Erik Leandro Bonaldi AU - Luiz Eduardo Borges-da-Silva PY - 2026 JO - Sensors DO - 10.3390/s26165129 UR - https://doi.org/10.3390/s26165129 ER -
APA
Junior, R. F. R., Loss, P. H. F., Macedo, B. C., Assuncao, F. D. O., Bonaldi, E. L., & Borges-da-Silva, L. E. (2026). A FEM-Based Machine Learning Framework for Online Stress Field Estimation in Hydropower Regulating Rings. Sensors. https://doi.org/10.3390/s26165129
Source records
- crossref · retrieved 2026-09-27T07:42:14.319Z