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Работы, цитирующие эту работу

Работ: 12

Работа: Deterministic tools to predict gas assisted gravity drainage recovery factor

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

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

    СтатьяHydrocarbon exploration and reservoir analysisPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0
    ABI

  2. 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

  3. Robust development of data-driven models for methane and hydrogen mixture solubility in brine

    Kashif Saleem, Abhinav Kumar, KDV Prasad +7

    СтатьяAtmospheric and Environmental Gas DynamicsGeomechanics and Geophysics for Geo-Energy and Geo-Resources2025Цитирований: 0
    ABI

  4. Robust forecasting of packaging chemical migration into water and food

    Chuan'an Wei, Farag M. A. Altalbawy, Dharmesh Sur +8

    СтатьяAdvanced Chemical Sensor TechnologiesInternational Journal of Food Properties2025Цитирований: 0
    ABI

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

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

    СтатьяPolymer Foaming and CompositesScientific Reports2025Цитирований: 0
    ABI

  6. 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

  7. Accurate Estimation of Density of Liquid Siloxanes Via Robust Machine Learning Methods

    Huan Liu, Ayat Hussein Adhab, G. PadmaPriya +11

    СтатьяPhase Equilibria and ThermodynamicsSilicon2025Цитирований: 0
    ABI

  8. 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

  9. 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

  10. Robust classification frameworks for oxide nanomaterials assisted by machine learning

    Wei Ju, Usama S. Altimari, Raman Kumar +9

    СтатьяNanoparticles: synthesis and applicationsChemical Papers2025Цитирований: 0
    ABI

  11. 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

    СтатьяThermochemical Biomass Conversion ProcessesEnergy Exploration & Exploitation2025Цитирований: 0
    ABI

  12. Prediction of H <sub>2</sub> S adsorption capacity of biochar using rigorous machine learning frameworks

    Kassem Al Attabi, Farag M. A. Altalbawy, Anupam Yadav +5

    СтатьяIndustrial Gas Emission ControlJournal of Environmental Science and Health Part A2025Цитирований: 0
    ABI