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84 ta ish

Ish: Machine learning frameworks to accurately compute CO2 capture in porous liquids

  1. A Critique of Some Ridge Regression Methods

    Gary Smith, Frank W. Campbell

    Maqola19803 iqtibos
    ABI
  2. The Generalized LASSO

    Volker Röth

    Maqola20043 iqtibos
    ABI
  3. Ridge Regression: A Historical Context

    Roger W. Hoerl

    Maqola20203 iqtibos
    ABI
  4. Chemically modified carbonaceous adsorbents for enhanced CO2 capture: A review

    Urooj Kamran, Soo‐Jin Park

    Sharh maqola20212 iqtibos
    ABI
  5. Prediction of Consumer Behaviour using Random Forest Algorithm

    Harsh Valecha, Aparna Varma, Ishita Khare +2

    Maqola20182 iqtibos
    ABI
  6. A two-layer feature selection method using Genetic Algorithm and Elastic Net

    Fatemeh Amini, Guiping Hu

    Maqola20202 iqtibos
    ABI
  7. Machine Learning Descriptors for CO2 Capture Materials

    Ibrahim Orhan, Yuankai Zhao, Ravichandar Babarao +2

    Sharh maqola20252 iqtibos
    ABI
  8. Sarlavhasiz

    Boshqa1 iqtibos
    ABI
  9. Sarlavhasiz

    Boshqa1 iqtibos
    ABI
  10. Sarlavhasiz

    Boshqa1 iqtibos
    ABI