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84 ta ish

Ish: Accurate prediction of the rheological behavior of MWCNT-Al2O3/water-ethylene glycol nanofluid with metaheuristic-optimized machine learning models

  1. Enhancing Thermal Conductivity of Fluids With Nanoparticles

    Stephen U. S. Choi

    Maqola199533 iqtibos
    ABI
  2. Particle swarm optimization

    James Kennedy, R.C. Eberhart

    Maqola200215 iqtibos
    ABI
  3. The Viscosity of Concentrated Suspensions and Solutions

    H. Brinkman

    Maqola19527 iqtibos
    ABI
  4. Summarizing multiple aspects of model performance in a single diagram

    Karl E. Taylor

    Maqola20016 iqtibos
    ABI
  5. A review on genetic algorithm: past, present, and future

    Sourabh Katoch, Sumit Singh Chauhan, Vijay Kumar

    Sharh maqola20205 iqtibos
    ABI
  6. A Review on Nanofluids: Preparation, Stability Mechanisms, and Applications

    Wei Yu, Huaqing Xie

    Sharh maqola20113 iqtibos
    ABI
  7. Thermal Conductivity of Nanoparticle - Fluid Mixture

    Xinwei Wang, Xianfan Xu, Stephen U. S. Choi

    Maqola19993 iqtibos
    ABI
  8. Some Comments on the Evaluation of Model Performance

    Cort J. Willmott

    Maqola19823 iqtibos
    ABI
  9. Sarlavhasiz

    Boshqa2 iqtibos
    ABI
  10. Sarlavhasiz

    Boshqa2 iqtibos
    ABI