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Optimized ANN for LiFePO4 battery charge estimation using principal components based feature generation

Research article (Green Energy and Intelligent Transportation, 2024) · cited 32× · AI/ML
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Optimized ANN for LiFePO4 battery charge estimation using principal components based feature generation is a scholarly article[1].

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  • Optimized ANN for LiFePO4 battery charge estimation using principal components based feature generation's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Optimized ANN for LiFePO4 battery charge estimation using principal components based feature generation. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimized-ann-for-lifepo4-battery-charge-estimation-using-principal-components-based-feature-generation
MLA “Optimized ANN for LiFePO4 battery charge estimation using principal components based feature generation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimized-ann-for-lifepo4-battery-charge-estimation-using-principal-components-based-feature-generation.
BibTeX @misc{4ortxyz_optimized-ann-for-lifepo4-battery-charge-estimation-using-principal-components-based-feature-generation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimized ANN for LiFePO4 battery charge estimation using principal components based feature generation}}, year = {2026}, url = {https://4ort.xyz/entity/optimized-ann-for-lifepo4-battery-charge-estimation-using-principal-components-based-feature-generation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimized ANN for LiFePO4 battery charge estimation using principal components based feature generation — https://4ort.xyz/entity/optimized-ann-for-lifepo4-battery-charge-estimation-using-principal-components-based-feature-generation (retrieved 2026-05-24)

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