Работы, цитирующие эту работу

Работ: 4

Работа: Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy

1. Numerical Investigation of the Impact of Thermal Interaction between Hydrosphere and Atmosphere on Climate Change

   Rabia Iqbal, Ali B.M. Ali, Muhammad Ashraf +3

   СтатьяClimate variability and modelsJournal of Vibration Engineering & Technologies2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002610

2. Further insights into the effects of magnetism and thermal radiation on Al ₂ O ₃ –Cu/engine oil hybrid nanofluid flow in Darcy–Forchheimer porous media

   Izzat Razzaq, Ali B. M. Ali, Wang Xinhua +3

   СтатьяNanofluid Flow and Heat TransferModern Physics Letters B2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.010559

3. Intelligent design of lithium-ion battery thermal management systems for electric vehicles: Integration of gene expression programming modeling and multi-objective atomic orbital search optimization

   Hangxin Liu, Ahmad Alkhayyat, Normurot Fayzullaev +7

   СтатьяAdvanced Battery Technologies ResearchJournal of Power Sources2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000089

4. An intelligent multi-objective decision framework for geothermal–LNG assisted co-generation of power, natural gas, and hydrogen

   Bhishma Karki, Dessalegn Ahmed Yeshanew, Ilkhom Khaydarov +7

   СтатьяHybrid Renewable Energy SystemsInternational Communications in Heat and Mass Transfer2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.011154