Работы, цитирующие эту работу

Работ: 3

Работа: Improving CO2 concentration, CO2 pollutant and occupants’ thermal comfort in a residential building using genetic algorithm optimization

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

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   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