Advanced AI modeling and optimization for determination of pharmaceutical solubility in supercritical processing for production of nanosized drug particles
This study presents a comparative analysis of three different models, namely Deep Neural Network (DNN), Quantile Regression (QR), and K-Nearest Neighbors (KNN) for the prediction of SC-CO2 density and solubility of rivaroxaban. The models were tuned using the Fireworks Algorithm (FWA) to optimize th...
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| Formato: | Artigo |
| Idioma: | Inglês |
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Elsevier
2023-09-01
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| Series: | Case Studies in Thermal Engineering |
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| Acceso en liña: | http://www.sciencedirect.com/science/article/pii/S2214157X23005051 |
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