Home ›
Entities
› academia
› Hybrid Gaussian process regression with temporal feature extraction for partially interpretable remaining useful life interval prediction in Aeroengine prognostics
Hybrid Gaussian process regression with temporal feature extraction for partially interpretable remaining useful life interval prediction in Aeroengine prognostics
Research article (Scientific Reports, 2025) · cited 11× · AI/ML
Hybrid Gaussian process regression with temporal feature extraction for partially interpretable remaining useful life interval prediction in Aeroengine prognostics
Summary
Hybrid Gaussian process regression with temporal feature extraction for partially interpretable remaining useful life interval prediction in Aeroengine prognostics is a scholarly article[1].
Key Facts
Hybrid Gaussian process regression with temporal feature extraction for partially interpretable remaining useful life interval prediction in Aeroengine prognostics'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). Hybrid Gaussian process regression with temporal feature extraction for partially interpretable remaining useful life interval prediction in Aeroengine prognostics. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-gaussian-process-regression-with-temporal-feature-extraction-for-partially-interpretable-remaining-useful-life-in
MLA“Hybrid Gaussian process regression with temporal feature extraction for partially interpretable remaining useful life interval prediction in Aeroengine prognostics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-gaussian-process-regression-with-temporal-feature-extraction-for-partially-interpretable-remaining-useful-life-in.
BibTeX@misc{4ortxyz_hybrid-gaussian-process-regression-with-temporal-feature-extraction-for-partially-interpretable-remaining-useful-life-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid Gaussian process regression with temporal feature extraction for partially interpretable remaining useful life interval prediction in Aeroengine prognostics}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-gaussian-process-regression-with-temporal-feature-extraction-for-partially-interpretable-remaining-useful-life-in}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid Gaussian process regression with temporal feature extraction for partially interpretable remaining useful life interval prediction in Aeroengine prognostics — https://4ort.xyz/entity/hybrid-gaussian-process-regression-with-temporal-feature-extraction-for-partially-interpretable-remaining-useful-life-in (retrieved 2026-05-24)
