Home ›
Entities
› academia
› A weighted Gaussian process regression model based on improved local outlier factor and its application in state of health estimation of lithium-ion battery
A weighted Gaussian process regression model based on improved local outlier factor and its application in state of health estimation of lithium-ion battery
Research article (Engineering Applications of Artificial Intelligence, 2024) · cited 16× · AI/ML
A weighted Gaussian process regression model based on improved local outlier factor and its application in state of health estimation of lithium-ion battery
Summary
A weighted Gaussian process regression model based on improved local outlier factor and its application in state of health estimation of lithium-ion battery is a scholarly article[1].
Key Facts
A weighted Gaussian process regression model based on improved local outlier factor and its application in state of health estimation of lithium-ion battery'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). A weighted Gaussian process regression model based on improved local outlier factor and its application in state of health estimation of lithium-ion battery. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-weighted-gaussian-process-regression-model-based-on-improved-local-outlier-factor-and-its-application-in-state-of-heal
MLA“A weighted Gaussian process regression model based on improved local outlier factor and its application in state of health estimation of lithium-ion battery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-weighted-gaussian-process-regression-model-based-on-improved-local-outlier-factor-and-its-application-in-state-of-heal.
BibTeX@misc{4ortxyz_a-weighted-gaussian-process-regression-model-based-on-improved-local-outlier-factor-and-its-application-in-state-of-heal_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A weighted Gaussian process regression model based on improved local outlier factor and its application in state of health estimation of lithium-ion battery}}, year = {2026}, url = {https://4ort.xyz/entity/a-weighted-gaussian-process-regression-model-based-on-improved-local-outlier-factor-and-its-application-in-state-of-heal}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A weighted Gaussian process regression model based on improved local outlier factor and its application in state of health estimation of lithium-ion battery — https://4ort.xyz/entity/a-weighted-gaussian-process-regression-model-based-on-improved-local-outlier-factor-and-its-application-in-state-of-heal (retrieved 2026-05-24)