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Heyder Mhohamdi

6 ta ish

Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq. [email protected]

  1. Advancing computational evaluation of adsorption via porous materials by artificial intelligence and computational fluid dynamics

    Heyder Mhohamdi, Usama S. Altimari, Krunal Vaghela +7

    MaqolaMachine Learning and Data ClassificationScientific Reports20251 iqtibos
    ABI

  2. Advanced hybrid evaluation of water treatment using porous materials for adsorption separation via machine learning and mechanistic models

    Pan Zhang, Usama S. Altimari, Krunal Vaghela +8

    MaqolaHydrological Forecasting Using AICase Studies in Thermal Engineering20250 iqtibos
    ABI

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

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

    MaqolaDrilling and Well EngineeringPhysics and Chemistry of the Earth Parts A/B/C20250 iqtibos
    ABI

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

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

    MaqolaNanoparticles: synthesis and applicationsChemical Papers20250 iqtibos
    ABI

  5. Synergistic reinforcement of HPAM/Cr(III) acetate polymer gels using Fe₃O₄@Saponin/Ni nanocomposites for conformance control applications

    Heyder Mhohamdi, Raman Kumar, Ashutosh Pattanaik +8

    MaqolaEnhanced Oil Recovery TechniquesDiscover Nano20260 iqtibos
    ABI

  6. Experimental study and soft computing modeling of shaly oil and gas reservoir cation exchange capacity based on novel machine learning approach

    Wu Xiaobin, Zyad Shaaban, R. Roopashree +10

    MaqolaNMR spectroscopy and applicationsPhysics and Chemistry of the Earth Parts A/B/C20260 iqtibos
    ABI