Computational intelligence models to predict porosity of tablets using minimum features

Research article (Drug Design Development and Therapy, 2017) · cited 14× · AI/ML
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Computational intelligence models to predict porosity of tablets using minimum features

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Computational intelligence models to predict porosity of tablets using minimum features is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Computational intelligence models to predict porosity of tablets using minimum features. Retrieved May 24, 2026, from https://4ort.xyz/entity/computational-intelligence-models-to-predict-porosity-of-tablets-using-minimum-features
MLA “Computational intelligence models to predict porosity of tablets using minimum features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/computational-intelligence-models-to-predict-porosity-of-tablets-using-minimum-features.
BibTeX @misc{4ortxyz_computational-intelligence-models-to-predict-porosity-of-tablets-using-minimum-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Computational intelligence models to predict porosity of tablets using minimum features}}, year = {2026}, url = {https://4ort.xyz/entity/computational-intelligence-models-to-predict-porosity-of-tablets-using-minimum-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Computational intelligence models to predict porosity of tablets using minimum features — https://4ort.xyz/entity/computational-intelligence-models-to-predict-porosity-of-tablets-using-minimum-features (retrieved 2026-05-24)

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