Asosiy kontentga oʻtish
AkademIndex

Mahsulotlar

Ishlab chiquvchilar uchun

AkademBaseEkotizim uchun ochiq API
← Ishga qaytish

Ushbu ish iqtibos qilgan ishlar

24 ta ish

Ish: Advanced hybrid evaluation of water treatment using porous materials for adsorption separation via machine learning and mechanistic models

  1. Random Forests

    Leo Breiman

    Maqola200167 iqtibos
    ABI

  2. A random forest guided tour

    Gérard Biau, Erwan Scornet

    Maqola20169 iqtibos
    ABI

  3. Extremely randomized trees

    Pierre Geurts, Damien Ernst, Louis Wehenkel

    Maqola20066 iqtibos
    ABI

  4. Gradient boosting machines, a tutorial

    Alexey Natekin, Alois Knoll

    Maqola20136 iqtibos
    ABI

  5. Random Forest: A Review

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

    Sharh maqola20173 iqtibos
    ABI

  6. Mesosilicate materials for environmental applications: Adsorption separation analysis via hybrid computational and machine learning tools

    Yu tong Sun, Xia Li, Ya ZHANG

    Maqola20242 iqtibos
    ABI

  7. Theoretical investigations on the purification of petroleum using desulfurization process: Analysis and optimization of process

    Siwei Li, Cheng Fu, Yong Yuan +2

    Maqola20242 iqtibos
    ABI

  8. Development of hybrid robust model based on computational modeling and machine learning for analysis of drug sorption onto porous adsorbents

    S. Tasqeeruddin, Shaheen Sultana, Abdulrhman Alsayari

    Maqola20252 iqtibos
    ABI

  9. Hybrid modeling of adsorption process using mass transfer and machine learning techniques for concentration prediction

    Jingxiang Lv, Lei Wang

    Maqola20252 iqtibos
    ABI

  10. 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

    Maqola20232 iqtibos
    ABI

  11. Evaluating Performance of Regression Machine Learning Models Using Multiple Error Metrics in Azure Machine Learning Studio

    Alexei Botchkarev

    Maqola20182 iqtibos
    ABI

  12. Advancing computational evaluation of adsorption via porous materials by artificial intelligence and computational fluid dynamics

    Heyder Mhohamdi, Usama S. Altimari, Krunal Vaghela +7

    MaqolaMachine Learning and Data ClassificationScientific Reports20251 iqtibos
    ABI

  13. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  14. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  15. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  16. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  17. Sarlavhasiz

    Boshqa1 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