Remaining useful life prediction of – Lithium batteries based on principal component analysis and improved Gaussian process regression

Research article (International Journal of Electrochemical Science, 2023) · cited 42× · AI/ML
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Remaining useful life prediction of – Lithium batteries based on principal component analysis and improved Gaussian process regression

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Remaining useful life prediction of – Lithium batteries based on principal component analysis and improved Gaussian process regression is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Remaining useful life prediction of – Lithium batteries based on principal component analysis and improved Gaussian process regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/remaining-useful-life-prediction-of-lithium-batteries-based-on-principal-component-analysis-and-improved-gaussian-proces
MLA “Remaining useful life prediction of – Lithium batteries based on principal component analysis and improved Gaussian process regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/remaining-useful-life-prediction-of-lithium-batteries-based-on-principal-component-analysis-and-improved-gaussian-proces.
BibTeX @misc{4ortxyz_remaining-useful-life-prediction-of-lithium-batteries-based-on-principal-component-analysis-and-improved-gaussian-proces_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Remaining useful life prediction of – Lithium batteries based on principal component analysis and improved Gaussian process regression}}, year = {2026}, url = {https://4ort.xyz/entity/remaining-useful-life-prediction-of-lithium-batteries-based-on-principal-component-analysis-and-improved-gaussian-proces}, note = {Accessed: 2026-05-24}}
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