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

Expected and estimated values (ADA + GPR).

Molecules, Free Full-Text

Exploring the aggregation behaviour and antibiotic binding ability

Evaluation of Deep Learning Architectures for Aqueous Solubility

Cluster-Based Regression Model for Predicting Aqueous Solubility

Computational intelligence modeling of hyoscine drug solubility

Data distribution, P (pressure), T (temperature), and Y

Advanced AI modeling and optimization for determination of

Development of machine learning model and analysis study of drug