Ушбу ишга иқтибос қилган ишлар

2 та иш

Иш: A novel insight into the design of perforated-finned heat sinks based on a hybrid procedure: Computational fluid dynamics, machine learning, multi-objective optimization, and multi-criteria decision-making

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

   МақолаNanofluid Flow and Heat TransferInternational Journal of Thermal Sciences20251 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.000663

2. 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

   МақолаAdvanced Battery Technologies ResearchJournal of Power Sources20260 иқтибос

   ABIABI:AkademIndex/openalex/2026.article.000089