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7 ta ish

Ish: Fast Monte Carlo reliability evaluation using support vector machine

  1. Predictive modeling of oil rate for wells under gas lift using machine learning

    Fang Ma, Farag M. A. Altalbawy, Pinank Patel +9

    MaqolaReservoir Engineering and Simulation MethodsScientific Reports20250 iqtibos
    ABI

  2. Development of robust machine learning models to estimate hydrochar higher heating value and yield based upon biomass proximate analysis

    Guoliang Hou, Ahmed Alkhayyat, Ahmad Almalkawi +8

    MaqolaThermochemical Biomass Conversion ProcessesBioresources and Bioprocessing20250 iqtibos
    ABI

  3. A robust machine learning framework for predicting CO2 solubility in polyethylene glycol using advanced optimization strategies

    Fadhel F. Sead, Dharmesh Sur, Anupam Yadav +7

    MaqolaPhase Equilibria and ThermodynamicsChinese Journal of Analytical Chemistry20250 iqtibos
    ABI

  4. Developing rigorous machine learning models to accurately estimate pesticide photodegradation by ZnO-based photocatalysts in water

    Farag M. A. Altalbawy, Shoira Formanova, Ahmad Almalkawi +7

    MaqolaWater Quality Monitoring and AnalysisJournal of the Indian Chemical Society20250 iqtibos
    ABI

  5. Estimating solubility of nitrogen in various ionic liquids: application of machine-learning

    Kassem Al Attabi, Farzona Alimova, Anupam Yadav +7

    MaqolaIonic liquids properties and applicationsChemical Papers20260 iqtibos
    ABI

  6. Machine learning frameworks to accurately compute CO2 capture in porous liquids

    Farag M. A. Altalbawy, Soumya V. Menon, Anupam Yadav +7

    MaqolaCarbon Dioxide Capture TechnologiesChemical Papers20260 iqtibos
    ABI

  7. Estimation of lithium adsorption in brine via robust machine learning algorithms

    Farag M. A. Altalbawy, Ahmad Almalkawi, Anupam Yadav +7

    MaqolaExtraction and Separation ProcessesChemical Papers20260 iqtibos
    ABI