Computational intelligence modeling of hyoscine drug solubility and solvent density in supercritical processing: gradient boosting, extra trees, and random forest models

Cluster-Based Regression Model for Predicting Aqueous Solubility

Evaluation of Deep Learning Architectures for Aqueous Solubility

Computational intelligence modeling of hyoscine drug solubility

Computational intelligence modeling of hyoscine drug solubility

Replacement solvent suggestions for procedures involving benzoic

Optimizing Pharmacokinetic Property Prediction Based on Integrated

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Exploring the aggregation behaviour and antibiotic binding ability

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Performance comparison between KPCA and other feature selection

PDF) Development of GBRT Model as a Novel and Robust Mathematical

Bioengineering, Free Full-Text