Работы, цитирующие эту работу

Работ: 2

Работа: Feasibility of ANFIS-PSO and ANFIS-GA Models in Predicting Thermophysical Properties of Al2O3-MWCNT/Oil Hybrid Nanofluid

1. Estimating the Physical Properties of Nanofluids Using a Connectionist Intelligent Model Known as Gaussian Process Regression Approach

   Tzu-Chia Chen, Ali Thaeer Hammid, Avzal N. Akbarov +3

   СтатьяPhase Equilibria and ThermodynamicsInternational Journal of Chemical Engineering2022Цитирований: 1

   ABIABI:AkademIndex/openalex/2022.article.000460

2. Employing deep learning for predicting the thermal properties of water and nano-encapsulated phase change material

   Saihua Xu, Ali Basem, Hasan A Al-Asadi +5

   СтатьяPhase Change Materials ResearchInternational Journal of Low-Carbon Technologies2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2024.article.000695