Home ›
Entities
› academia
› Integrating synthetic minority oversampling and gradient boosting decision tree for bogie fault diagnosis in rail vehicles
Integrating synthetic minority oversampling and gradient boosting decision tree for bogie fault diagnosis in rail vehicles
Research article (Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit, 2018) · cited 37× · AI/ML
Integrating synthetic minority oversampling and gradient boosting decision tree for bogie fault diagnosis in rail vehicles
Summary
Integrating synthetic minority oversampling and gradient boosting decision tree for bogie fault diagnosis in rail vehicles is a scholarly article[1].
Key Facts
Integrating synthetic minority oversampling and gradient boosting decision tree for bogie fault diagnosis in rail vehicles's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Integrating synthetic minority oversampling and gradient boosting decision tree for bogie fault diagnosis in rail vehicles. Retrieved May 24, 2026, from https://4ort.xyz/entity/integrating-synthetic-minority-oversampling-and-gradient-boosting-decision-tree-for-bogie-fault-diagnosis-in-rail-vehicl
MLA“Integrating synthetic minority oversampling and gradient boosting decision tree for bogie fault diagnosis in rail vehicles.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integrating-synthetic-minority-oversampling-and-gradient-boosting-decision-tree-for-bogie-fault-diagnosis-in-rail-vehicl.
BibTeX@misc{4ortxyz_integrating-synthetic-minority-oversampling-and-gradient-boosting-decision-tree-for-bogie-fault-diagnosis-in-rail-vehicl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrating synthetic minority oversampling and gradient boosting decision tree for bogie fault diagnosis in rail vehicles}}, year = {2026}, url = {https://4ort.xyz/entity/integrating-synthetic-minority-oversampling-and-gradient-boosting-decision-tree-for-bogie-fault-diagnosis-in-rail-vehicl}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Integrating synthetic minority oversampling and gradient boosting decision tree for bogie fault diagnosis in rail vehicles — https://4ort.xyz/entity/integrating-synthetic-minority-oversampling-and-gradient-boosting-decision-tree-for-bogie-fault-diagnosis-in-rail-vehicl (retrieved 2026-05-24)
