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7 works

Work: Predicting asphaltene precipitation during titration of diluted crude oil with paraffin using artificial neural network (ANN)

  1. Estimation of nitrogen-crude oil interfacial tension: Application of hybrid machine learning algorithms

    Jian Shen, Anupam Yadav, Farag M. A. Altalbawy +11

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

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  3. Carbon dioxide solubility in polyethylene glycol polymer: an accurate intelligent estimation framework

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

    ArticlePolymer Foaming and CompositesScientific Reports20250 citations
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  4. Modeling CO <sub>2</sub> solubility in polyethylene glycol polymer using data driven methods

    YunLi Lei, Fadhel F. Sead, Dharmesh Sur +8

    ArticlePhase Equilibria and ThermodynamicsSeparation Science and Technology20250 citations
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  5. 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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  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. Estimating solubility of nitrogen in various ionic liquids: application of machine-learning

    Kassem Al Attabi, Farzona Alimova, Anupam Yadav +7

    ArticleIonic liquids properties and applicationsChemical Papers20260 citations
    ABI