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32 ta ish

Ish: Machine learning estimation and optimization for evaluation of pharmaceutical solubility in supercritical carbon dioxide for improvement of drug efficacy

  1. Random Forests

    Leo Breiman

    Maqola200167 iqtibos
    ABI

  2. The Whale Optimization Algorithm

    Seyedali Mirjalili, Andrew Lewis

    Maqola20169 iqtibos
    ABI

  3. Greedy function approximation: A gradient boosting machine.

    Jerome H. Friedman

    Maqola20016 iqtibos
    ABI

  4. Gradient boosting machines, a tutorial

    Alexey Natekin, Alois Knoll

    Maqola20136 iqtibos
    ABI

  5. Random Forests

    Adele Cutler, D. Richard Cutler, John R. Stevens

    Bob20126 iqtibos
    ABI

  6. RANDOM FORESTS FOR CLASSIFICATION IN ECOLOGY

    D. Richard Cutler, Thomas C. Edwards, Karen H. Beard +4

    Maqola20075 iqtibos
    ABI

  7. Isolation Forest

    Fei Tony Liu, Kai Ming Ting, Zhi‐Hua Zhou

    Maqola20084 iqtibos
    ABI

  8. Ensemble Methods in Machine Learning

    Thomas G. Dietterich

    Bob20004 iqtibos
    ABI

  9. Supercritical carbon dioxide utilization in drug delivery: Experimental study and modeling of paracetamol solubility

    Hamidreza Bagheri, Behrouz Notej, Sara Shahsavari +1

    Maqola20223 iqtibos
    ABI

  10. Experimental solubility measurement of cephalexin in supercritical carbon dioxide

    Safar Ali Shojaee, Hamid Rajaei, Ali Zeinolabedini Hezave +2

    Maqola20133 iqtibos
    ABI

  11. Medium Gaussian SVM, Wide Neural Network and stepwise linear method in estimation of Lornoxicam pharmaceutical solubility in supercritical solvent

    Tao Wang, Chia‐Hung Su

    Maqola20213 iqtibos
    ABI

  12. RETRACTED: Prediction of busulfan solubility in supercritical CO2 using tree-based and neural network-based methods

    Zhou Tianhao, Hasan Sh. Majdi, Dmitry Olegovich Bokov +6

    Maqola20223 iqtibos
    ABI

  13. Machine learning aided drug development: Assessing improvement of drug efficiency by correlation of solubility in supercritical solvent for nanomedicine preparation

    Mohammed Ghazwani, M. Yasmin Begum

    Maqola20233 iqtibos
    ABI

  14. Random Forest: A Review

    Computer Science & Engineering &GZSCCET Bhatinda, Punjab, India, Eesha Goel, Er. Abhilasha +1

    Sharh maqola20173 iqtibos
    ABI

  15. Multi support vector models to estimate solubility of Busulfan drug in supercritical carbon dioxide

    Zhiyu Zhao, Peng Liu, Yijie Li +4

    Maqola20222 iqtibos
    ABI

  16. Machine learning model for prediction of drug solubility in supercritical solvent: Modeling and experimental validation

    Feifei An, Biju Theruvil Sayed, Rosario Mireya Romero‐Parra +8

    Maqola20222 iqtibos
    ABI

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

    Hanyi Song, Hua Shao, Ying Zhang +1

    Maqola20242 iqtibos
    ABI

  18. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  19. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  20. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  21. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  22. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  23. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  24. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  25. Sarlavhasiz

    Boshqa1 iqtibos
    ABI