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7 ta ish

Ish: An empirical study about the usefulness of evolution strategies to solve constrained optimization problems

  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

    MaqolaReservoir Engineering and Simulation MethodsScientific Reports20250 iqtibos
    ABI

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

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

    MaqolaDrilling and Well EngineeringScientific Reports20250 iqtibos
    ABI

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

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

    MaqolaHydraulic Fracturing and Reservoir AnalysisPhysics and Chemistry of the Earth Parts A/B/C20250 iqtibos
    ABI

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

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

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

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

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

    MaqolaElectrokinetic Soil Remediation TechniquesPhysics and Chemistry of the Earth Parts A/B/C20250 iqtibos
    ABI

  6. Hybrid gradient boosting machine for precise prediction of biomass net output power in terms of proximate analysis

    L W Zhang, Ahmad Alkhayyat, Ahmad Almalkawi +8

    MaqolaThermochemical Biomass Conversion ProcessesEnergy Exploration & Exploitation20250 iqtibos
    ABI

  7. Development of hybrid smart models to accurately model nano-polyethylene glycol composite viscosity

    Tianxiang Li, Ayat Hussein Adhab, Vicky Jain +11

    MaqolaPolymer Nanocomposites and PropertiesChemical Papers20260 iqtibos
    ABI