Home ›
Entities
› academia
› A solution framework for the experimental data shortage problem of lithium-ion batteries: Generative adversarial network-based data augmentation for battery state estimation
A solution framework for the experimental data shortage problem of lithium-ion batteries: Generative adversarial network-based data augmentation for battery state estimation
Research article (Journal of Energy Chemistry, 2024) · cited 26× · AI/ML
A solution framework for the experimental data shortage problem of lithium-ion batteries: Generative adversarial network-based data augmentation for battery state estimation
Summary
A solution framework for the experimental data shortage problem of lithium-ion batteries: Generative adversarial network-based data augmentation for battery state estimation is a scholarly article[1].
Key Facts
A solution framework for the experimental data shortage problem of lithium-ion batteries: Generative adversarial network-based data augmentation for battery state estimation'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 solution framework for the experimental data shortage problem of lithium-ion batteries: Generative adversarial network-based data augmentation for battery state estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-solution-framework-for-the-experimental-data-shortage-problem-of-lithium-ion-batteries-generative-adversarial-network-
MLA“A solution framework for the experimental data shortage problem of lithium-ion batteries: Generative adversarial network-based data augmentation for battery state estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-solution-framework-for-the-experimental-data-shortage-problem-of-lithium-ion-batteries-generative-adversarial-network-.
BibTeX@misc{4ortxyz_a-solution-framework-for-the-experimental-data-shortage-problem-of-lithium-ion-batteries-generative-adversarial-network-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A solution framework for the experimental data shortage problem of lithium-ion batteries: Generative adversarial network-based data augmentation for battery state estimation}}, year = {2026}, url = {https://4ort.xyz/entity/a-solution-framework-for-the-experimental-data-shortage-problem-of-lithium-ion-batteries-generative-adversarial-network-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A solution framework for the experimental data shortage problem of lithium-ion batteries: Generative adversarial network-based data augmentation for battery state estimation — https://4ort.xyz/entity/a-solution-framework-for-the-experimental-data-shortage-problem-of-lithium-ion-batteries-generative-adversarial-network- (retrieved 2026-05-24)
