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Работы, цитирующие эту работу

Работ: 9

Работа: 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

    СтатьяReservoir Engineering and Simulation MethodsScientific Reports2025Цитирований: 0
    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

    СтатьяThermochemical Biomass Conversion ProcessesBioresources and Bioprocessing2025Цитирований: 0
    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

    СтатьяDrilling and Well EngineeringScientific Reports2025Цитирований: 0
    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

    СтатьяHydraulic Fracturing and Reservoir AnalysisPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0
    ABI

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

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

    СтатьяHigh-Velocity Impact and Material BehaviorPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0
    ABI

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

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

    СтатьяElectrokinetic Soil Remediation TechniquesPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0
    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

    СтатьяWater Quality Monitoring and AnalysisJournal of the Indian Chemical Society2025Цитирований: 0
    ABI

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

    Kassem Al Attabi, Farzona Alimova, Anupam Yadav +7

    СтатьяIonic liquids properties and applicationsChemical Papers2026Цитирований: 0
    ABI

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

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

    СтатьяCarbon Dioxide Capture TechnologiesChemical Papers2026Цитирований: 0
    ABI