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7 works

Work: Improved naive Bayesian probability classifier in predictions of nuclear mass

  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

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  2. Modeling CO <sub>2</sub> solubility in polyethylene glycol polymer using data driven methods

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

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

    ArticleDrilling and Well EngineeringScientific Reports20250 citations
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  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

    ArticleHydraulic Fracturing and Reservoir AnalysisPhysics and Chemistry of the Earth Parts A/B/C20250 citations
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  5. Application of hybrid gradient boosting machine to reliably predict rate of penetration

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

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

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

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

    ArticleElectrokinetic Soil Remediation TechniquesPhysics and Chemistry of the Earth Parts A/B/C20250 citations
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  7. 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

    ArticleThermochemical Biomass Conversion ProcessesEnergy Exploration & Exploitation20250 citations
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