RETRACTED ARTICLE: A hybrid LSTM random forest model with grey wolf optimization for enhanced detection of multiple bearing faults
- DOI
- 10.1038/s41598-024-75174-x
- Published
- 2024-10-14
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-024-75174-x,
title = {RETRACTED ARTICLE: A hybrid LSTM random forest model with grey wolf optimization for enhanced detection of multiple bearing faults},
author = {Said Djaballah and Lotfi Saidi and Kamel Meftah and Abdelmoumene Hechifa and Mohit Bajaj and Ievgen Zaitsev},
year = {2024},
journal = {Scientific Reports},
doi = {10.1038/s41598-024-75174-x},
url = {https://doi.org/10.1038/s41598-024-75174-x}
}RIS
TY - JOUR TI - RETRACTED ARTICLE: A hybrid LSTM random forest model with grey wolf optimization for enhanced detection of multiple bearing faults AU - Said Djaballah AU - Lotfi Saidi AU - Kamel Meftah AU - Abdelmoumene Hechifa AU - Mohit Bajaj AU - Ievgen Zaitsev PY - 2024 JO - Scientific Reports DO - 10.1038/s41598-024-75174-x UR - https://doi.org/10.1038/s41598-024-75174-x ER -
APA
Djaballah, S., Saidi, L., Meftah, K., Hechifa, A., Bajaj, M., & Zaitsev, I. (2024). RETRACTED ARTICLE: A hybrid LSTM random forest model with grey wolf optimization for enhanced detection of multiple bearing faults. Scientific Reports. https://doi.org/10.1038/s41598-024-75174-x
Source records
- crossref · retrieved 2026-09-26T01:30:50.483Z