Home ›
Entities
› academia
› Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management
Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management
Research article (Scientific Reports, 2025) · cited 34× · AI/ML
Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management
Summary
Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management is a scholarly article[1].
Key Facts
Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management'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). Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management. Retrieved May 24, 2026, from https://4ort.xyz/entity/quaternion-generative-adversarial-driven-soc-estimation-using-tyrannosaurus-optimizer-for-improving-hybrid-electric-vehi
MLA“Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quaternion-generative-adversarial-driven-soc-estimation-using-tyrannosaurus-optimizer-for-improving-hybrid-electric-vehi.
BibTeX@misc{4ortxyz_quaternion-generative-adversarial-driven-soc-estimation-using-tyrannosaurus-optimizer-for-improving-hybrid-electric-vehi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management}}, year = {2026}, url = {https://4ort.xyz/entity/quaternion-generative-adversarial-driven-soc-estimation-using-tyrannosaurus-optimizer-for-improving-hybrid-electric-vehi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management — https://4ort.xyz/entity/quaternion-generative-adversarial-driven-soc-estimation-using-tyrannosaurus-optimizer-for-improving-hybrid-electric-vehi (retrieved 2026-05-24)
