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3 та иш

Иш: Utilizing machine learning algorithms for prediction of the rheological behavior of ZnO (50%)-MWCNTs (50%)/ Ethylene glycol (20%)-water (80%) nano-refrigerant

  1. Optimizing the thermostat setting points of residential and insulated buildings in the direction of economic efficiency and thermal comfort through advanced multi-purpose techniques

    Peng He, Ali B.M. Ali, Zahraa Abed Hussein +6

    МақолаBuilding Energy and Comfort OptimizationEnergy and Buildings20250 иқтибос
    ABI

  2. Prediction of the thermophysical properties of Ag-reduced graphene oxide-water/ethylene-glycol hybrid nanofluids using different machine learning methods

    Huaguang Li, Ali B.M. Ali, Rasha Abed Hussein +6

    МақолаNanofluid Flow and Heat TransferCase Studies in Thermal Engineering20250 иқтибос
    ABI

  3. Prediction methods and influencing factors on the viscosity of nanofluids using machine learning: A comprehensive review

    Shuangcen Li, Ali Basem, Ahmed Kateb Jumaah Al-Nussairi +6

    МақолаNanofluid Flow and Heat TransferInternational Communications in Heat and Mass Transfer20260 иқтибос
    ABI