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25 works

Work: Machine learning-based estimation of nano-lubricants viscosity in different operating conditions

  1. RETRACTED: Combination of group method of data handling neural network with multi-objective gray wolf optimizer to predict the viscosity of MWCNT-TiO2 -oil SAE50 nanofluid

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  2. Machine-learning based prediction of hydrogen/methane mixture solubility in brine

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

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  4. Predictive modeling of oil rate for wells under gas lift using machine learning

    Fang Ma, Farag M. A. Altalbawy, Pinank Patel +9

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

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    ArticleAtmospheric and Environmental Gas DynamicsGeomechanics and Geophysics for Geo-Energy and Geo-Resources20250 citations
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  6. Robust forecasting of packaging chemical migration into water and food

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

    ArticleAdvanced Chemical Sensor TechnologiesInternational Journal of Food Properties20250 citations
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  7. 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

    ArticleThermochemical Biomass Conversion ProcessesBioresources and Bioprocessing20250 citations
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  8. Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones

    Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora +10

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  9. 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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  10. 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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  11. 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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  12. Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods

    Abhinav Kumar, Paul Rodrigues, Ali Kamil Kareem +7

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

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

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  14. Predicting filter cake thickness in drilling fluids using machine learning techniques

    Minghui OU, Mohammed Al-Bahra, Raman Kumar +10

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  15. 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
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  16. Accurate Data-Driven Frameworks to Estimate Solubility of Ammonia in Ionic Liquids

    Tao Xu, Ahmad Alkhayyat, Zainab Ahmed Hamodi +9

    ArticleIonic liquids properties and applicationsJOURNAL OF CHEMICAL ENGINEERING OF JAPAN20250 citations
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  17. 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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  18. Robust classification frameworks for oxide nanomaterials assisted by machine learning

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

    ArticleNanoparticles: synthesis and applicationsChemical Papers20250 citations
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  19. A robust machine learning framework for predicting CO2 solubility in polyethylene glycol using advanced optimization strategies

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

    ArticlePhase Equilibria and ThermodynamicsChinese Journal of Analytical Chemistry20250 citations
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  20. 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

    ArticleWater Quality Monitoring and AnalysisJournal of the Indian Chemical Society20250 citations
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  21. 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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  22. New insights into residue formation due to oxidation of crude oil via data-driven methods

    Mohammad Abushuhel, Ibrahim Khersan, Tariq Abdulkader Alrihaim +7

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  23. 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

    ArticleIndustrial Gas Emission ControlJournal of Environmental Science and Health Part A20250 citations
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  24. Effects of physical properties on the heavy metal adsorption of biochar via a robust approach

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

    Kassem Al Attabi, Farzona Alimova, Anupam Yadav +7

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