Работы, цитирующие эту работу

Работ: 3

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

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

   Yi Ru, Ali B.M. Ali, Karwan Hussein Qader +5

   СтатьяNanofluid Flow and Heat TransferInternational Journal of Thermal Sciences2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.000663

2. Effect of applying serpentine channels and hybrid nanofluid for thermal management of photovoltaic cell: Numerical simulation, ANN and sensitivity analysis

   Ali Basem, Mohammad Alhuyi Nazari, Ali Mehrabi +2

   СтатьяSolar Thermal and Photovoltaic SystemsRenewable Energy2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000941

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

   СтатьяNanofluid Flow and Heat TransferInternational Communications in Heat and Mass Transfer2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.012142