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6 ta ish

Ish: Artificial neural network analysis of heat and mass transfer in fractional Casson flow

  1. Heat and mass transfer with Eckert number on flow of nanofluid

    Hakim AL Garalleh, Muhammad Ramzan, Muhammad Amir +4

    MaqolaNanofluid Flow and Heat TransferInternational Journal of Applied and Computational Mathematics20250 iqtibos
    ABI

  2. Exploring the impact of Schmidt number and fractional operator on free convection flow of fluid with ANN approach

    Muhammad Ramzan, Shajar Abbas, Abdul Hakim Hotak +5

    MaqolaFractional Differential Equations SolutionsProceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems20250 iqtibos
    ABI

  3. Machine learning–augmented finite element modeling for transient hemodynamics in human arteries

    Muhammad Sheeraz Junaid, Muhammad Nauman Aslam, Shajar Abbas +4

    MaqolaElasticity and Material ModelingComputers in Biology and Medicine20260 iqtibos
    ABI

  4. Nonlinear thermophysical dynamics of MHD hybrid nanofluids: a multiparametric fractional framework assisted by artificial neural networks

    Shajar Abbas, Muhammad Ramzan, Rashid Jan +5

    MaqolaNanofluid Flow and Heat TransferJournal of Thermal Analysis and Calorimetry20260 iqtibos
    ABI

  5. On the reflexive edge irregularity strength in barycentric subdivision of circulant networks

    Tanveer Iqbal, Shajar Abbas, Nashwan Adnan Othman +5

    MaqolaGeometric Analysis and Curvature FlowsPramana20260 iqtibos
    ABI

  6. Bioconvection MHD casson hybrid nanofluid (Ag-TiO2) flow with dissipative heat transfer and slip effects: A neural network-assisted computational study for biomedical applications

    D. Prabu, Shajar Abbas, Assmaa Abd-Elmonem +3

    MaqolaNanofluid Flow and Heat TransferComputers in Biology and Medicine20260 iqtibos
    ABI