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Иш: 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

    Мақола199533 иқтибос
    ABI

  2. Particle swarm optimization

    James Kennedy, R.C. Eberhart

    Мақола200215 иқтибос
    ABI

  3. Multilayer feedforward networks are universal approximators

    Kurt Hornik, Maxwell B. Stinchcombe, Halbert White

    Мақола19898 иқтибос
    ABI

  4. The Viscosity of Concentrated Suspensions and Solutions

    H. Brinkman

    Мақола19527 иқтибос
    ABI

  5. Summarizing multiple aspects of model performance in a single diagram

    Karl E. Taylor

    Мақола20016 иқтибос
    ABI

  6. Pareto optimal design of a finned latent heat thermal energy storage unit using a novel hybrid technique

    Hamid Maleki, Mehdi Ashrafi, Nastaran Zandy Ilghani +2

    Мақола20216 иқтибос
    ABI

  7. A review on genetic algorithm: past, present, and future

    Sourabh Katoch, Sumit Singh Chauhan, Vijay Kumar

    Шарҳ мақола20205 иқтибос
    ABI

  8. Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision-making

    Tao Zhang, Anahita Manafi Khajeh Pasha, S. Mohammad Sajadi +5

    Мақола20245 иқтибос
    ABI

  9. Insights into water-lubricated transport of heavy and extra-heavy oils: Application of CFD, RSM, and metaheuristic optimized machine learning models

    Mishal Alsehli, Ali Basem, Dheyaa J. Jasim +7

    Мақола20245 иқтибос
    ABI

  10. Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids

    Yunyan Shang, Karrar A. Hammoodi, As’ad Alizadeh +7

    Мақола20245 иқтибос
    ABI

  11. Optimizing Gaussian process regression (GPR) hyperparameters with three metaheuristic algorithms for viscosity prediction of suspensions containing microencapsulated PCMs

    Tao Hai, Ali Basem, As’ad Alizadeh +7

    Мақола20245 иқтибос
    ABI

  12. Integrating artificial neural networks, multi-objective metaheuristic optimization, and multi-criteria decision-making for improving MXene-based ionanofluids applicable in PV/T solar systems

    Tao Hai, Ali Basem, As’ad Alizadeh +8

    Мақола20245 иқтибос
    ABI

  13. Marine Predators Algorithm: A nature-inspired metaheuristic

    Afshin Faramarzi, Mohammad Heidarinejad, Seyedali Mirjalili +1

    Мақола20204 иқтибос
    ABI

  14. Combining artificial intelligence and computational fluid dynamics for optimal design of laterally perforated finned heat sinks

    Seyyed Amirreza Abdollahi, Ali Basem, As’ad Alizadeh +5

    Мақола20244 иқтибос
    ABI

  15. A Review on Nanofluids: Preparation, Stability Mechanisms, and Applications

    Wei Yu, Huaqing Xie

    Шарҳ мақола20113 иқтибос
    ABI

  16. Thermal Conductivity of Nanoparticle - Fluid Mixture

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

    Мақола19993 иқтибос
    ABI

  17. PEARSON VERSUS SPEARMAN, KENDALL'S TAU CORRELATION ANALYSIS ON STRUCTURE-ACTIVITY RELATIONSHIPS OF BIOLOGIC ACTIVE COMPOUNDS

    Lorentz Jäntschi, Sorana D. Bolboacă, Iuliu Haţieganu

    Мақола20053 иқтибос
    ABI

  18. Some Comments on the Evaluation of Model Performance

    Cort J. Willmott

    Мақола19823 иқтибос
    ABI

  19. Smart modeling by using artificial intelligent techniques on thermal performance of flat‐plate solar collector using nanofluid

    Milad Sadeghzadeh, Mohammad Hossein Ahmadi, Mostafa Kahani +3

    Мақола20193 иқтибос
    ABI

  20. A well-trained artificial neural network for predicting the rheological behavior of MWCNT–Al2O3 (30–70%)/oil SAE40 hybrid nanofluid

    Mohammad Hemmat Esfe, S. Ali Eftekhari, Maboud Hekmatifar +1

    Мақола20213 иқтибос
    ABI

  21. RETRACTED: Rheological behavior of hybrid MWCNTs-TiO2/EG nanofluid: A comprehensive modeling and experimental study

    Shu‐Rong Yan, Rasool Kalbasi, Quyen Nguyen +1

    Мақола20202 иқтибос
    ABI

  22. Integrating artificial Intelligence-Based metaheuristic optimization with Machine learning to enhance Nanomaterial-Containing latent heat thermal energy storage systems

    Ali Basem, Hanaa Kadhim Abdulaali, As’ad Alizadeh +6

    Мақола20242 иқтибос
    ABI

  23. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  24. Determining the best structure for an artificial neural network to model the dynamic viscosity of MWCNT-ZnO (25:75)/SAE 10W40 oil nano-lubricant

    Mohammad Hemmat Esfe, S. Ali Eftekhari, S. Mohammad Sajadi +3

    Мақола20232 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI