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Computational intelligence modeling of hyoscine drug solubility and solvent density in supercritical processing: gradient boosting, extra trees, and random forest models
Research article (Scientific Reports, 2023) · cited 56× · AI/ML
Computational intelligence modeling of hyoscine drug solubility and solvent density in supercritical processing: gradient boosting, extra trees, and random forest models
Summary
Computational intelligence modeling of hyoscine drug solubility and solvent density in supercritical processing: gradient boosting, extra trees, and random forest models is a scholarly article[1].
Key Facts
Computational intelligence modeling of hyoscine drug solubility and solvent density in supercritical processing: gradient boosting, extra trees, and random forest models's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Computational intelligence modeling of hyoscine drug solubility and solvent density in supercritical processing: gradient boosting, extra trees, and random forest models. Retrieved May 24, 2026, from https://4ort.xyz/entity/computational-intelligence-modeling-of-hyoscine-drug-solubility-and-solvent-density-in-supercritical-processing-gradient
MLA“Computational intelligence modeling of hyoscine drug solubility and solvent density in supercritical processing: gradient boosting, extra trees, and random forest models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/computational-intelligence-modeling-of-hyoscine-drug-solubility-and-solvent-density-in-supercritical-processing-gradient.
BibTeX@misc{4ortxyz_computational-intelligence-modeling-of-hyoscine-drug-solubility-and-solvent-density-in-supercritical-processing-gradient_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Computational intelligence modeling of hyoscine drug solubility and solvent density in supercritical processing: gradient boosting, extra trees, and random forest models}}, year = {2026}, url = {https://4ort.xyz/entity/computational-intelligence-modeling-of-hyoscine-drug-solubility-and-solvent-density-in-supercritical-processing-gradient}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Computational intelligence modeling of hyoscine drug solubility and solvent density in supercritical processing: gradient boosting, extra trees, and random forest models — https://4ort.xyz/entity/computational-intelligence-modeling-of-hyoscine-drug-solubility-and-solvent-density-in-supercritical-processing-gradient (retrieved 2026-05-24)
