Работы, цитирующие эту работу

Работ: 4

Работа: Optimization of annual electricity consumption costs and the costs of insulation and phase change materials in the residential building using artificial neural network and genetic algorithm methods

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. Using evolutionary algorithms and group method of data handling ANN for prediction of the viscosity MWCNT-ZnO /oil SAE 50 nano-lubricant

   Zuozhi Liu, Ali B.M. Ali, Rasha Abed Hussein +6

   СтатьяLubricants and Their AdditivesInternational Communications in Heat and Mass Transfer2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001563

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