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9 та иш

Иш: Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables

  1. Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data

    Zhiwei Xun, Farag M. A. Altalbawy, Prakash Kanjariya +9

    МақолаReservoir Engineering and Simulation MethodsScientific Reports20250 иқтибос
    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

    МақолаThermochemical Biomass Conversion ProcessesBioresources and Bioprocessing20250 иқтибос
    ABI

  3. Reliable estimation via hybrid gradient boosting machine for mud loss volume in drilling operations

    Xiaozhi Lu, Farag M. A. Altalbawy, Tarak Vora +9

    МақолаDrilling and Well EngineeringScientific Reports20250 иқтибос
    ABI

  4. Permeability reduction prediction in low-salinity water flooding of clay-rich sandstones through machine learning

    Yifan Li, Farag M. A. Altalbawy, Hardik Doshi +9

    МақолаHydraulic Fracturing and Reservoir AnalysisPhysics and Chemistry of the Earth Parts A/B/C20250 иқтибос
    ABI

  5. Application of hybrid gradient boosting machine to reliably predict rate of penetration

    Jianing Zhang, Farag M. A. Altalbawy, Tarak Vora +10

    МақолаHigh-Velocity Impact and Material BehaviorPhysics and Chemistry of the Earth Parts A/B/C20250 иқтибос
    ABI

  6. Insightful frameworks for zeta potential of various clays in different brine compositions

    Junhou Wang, Farag M. A. Altalbawy, Suranjana V. Mayani‎ +9

    МақолаElectrokinetic Soil Remediation TechniquesPhysics and Chemistry of the Earth Parts A/B/C20250 иқтибос
    ABI

  7. 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

    МақолаWater Quality Monitoring and AnalysisJournal of the Indian Chemical Society20250 иқтибос
    ABI

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

    Kassem Al Attabi, Farzona Alimova, Anupam Yadav +7

    МақолаIonic liquids properties and applicationsChemical Papers20260 иқтибос
    ABI

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

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

    МақолаCarbon Dioxide Capture TechnologiesChemical Papers20260 иқтибос
    ABI