Skip to main content
AkademIndex

Products

For developers

AkademBaseOpen API for the ecosystem
← Back to work

Works cited by this work

42 works

Work: Raloxifene solubility in supercritical CO2 and correlation of drug solubility via hybrid machine learning and gradient based optimization

  1. Employment of artificial intelligence approach for optimizing the solubility of drug in the supercritical CO2 system

    Meixiuli Li, Wenyan Jiang, Shuang Zhao +2

    Article20242 citations
    ABI

  2. Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions

    Daniel Asante Otchere, Tarek Omar Arbi Ganat, Jude Oghenerurie Ojero +2

    Article20212 citations
    ABI

  3. Data-driven models and comparison for correlation of pharmaceutical solubility in supercritical solvent based on pressure and temperature as inputs

    Mohammed F. Aldawsari, Wael A. Mahdi, Jawaher Abdullah Alamoudi

    Article20232 citations
    ABI

  4. Advancing nanomedicine production via green method: Modeling and simulation of pharmaceutical solubility at different temperatures and pressures

    Hanyi Song, Hua Shao, Ying Zhang +1

    Article20242 citations
    ABI

  5. Untitled

    Other1 citations
    ABI

  6. Untitled

    Other1 citations
    ABI

  7. Untitled

    Other1 citations
    ABI

  8. Untitled

    Other1 citations
    ABI

  9. Untitled

    Other1 citations
    ABI

  10. Untitled

    Other1 citations
    ABI

  11. Untitled

    Other1 citations
    ABI

  12. Untitled

    Other1 citations
    ABI

  13. Untitled

    Other1 citations
    ABI

  14. Untitled

    Other1 citations
    ABI

  15. Untitled

    Other1 citations
    ABI

  16. Untitled

    Other1 citations
    ABI

  17. Untitled

    Other1 citations
    ABI