Работы, цитирующие эту работу

Работ: 4

Работа: Prediction of the thermal behavior of multi-walled carbon nanotubes-CuO-CeO2 (20-40-40)/water hybrid nanofluid using different types of regressors and evolutionary algorithms for designing the best artificial neural network modeling

1. RETRACTED: Combination of group method of data handling neural network with multi-objective gray wolf optimizer to predict the viscosity of MWCNT-TiO2 -oil SAE50 nanofluid

   Han Zhou, Ali B.M. Ali, Hussein Zekri +7

   СтатьяNanofluid Flow and Heat TransferCase Studies in Thermal Engineering2024Цитирований: 2

   ABIABI:AkademIndex/openalex/2024.article.000899

2. 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

   СтатьяBuilding Energy and Comfort OptimizationEnergy and Buildings2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000373

3. 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

   СтатьяNanofluid Flow and Heat TransferCase Studies in Thermal Engineering2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000869

4. 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