Home ›
Entities
› academia
› Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state
Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state
Research article (International Journal of Hydrogen Energy, 2024) · cited 33× · AI/ML
Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state
Summary
Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state is a scholarly article[1].
Key Facts
Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state'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). Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-hydrogen-solubility-in-water-comparison-of-adaptive-boosting-support-vector-regression-gene-expression-programm
MLA“Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-hydrogen-solubility-in-water-comparison-of-adaptive-boosting-support-vector-regression-gene-expression-programm.
BibTeX@misc{4ortxyz_modeling-hydrogen-solubility-in-water-comparison-of-adaptive-boosting-support-vector-regression-gene-expression-programm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-hydrogen-solubility-in-water-comparison-of-adaptive-boosting-support-vector-regression-gene-expression-programm}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state — https://4ort.xyz/entity/modeling-hydrogen-solubility-in-water-comparison-of-adaptive-boosting-support-vector-regression-gene-expression-programm (retrieved 2026-05-24)
