Ушбу ишга иқтибос қилган ишлар

3 та иш

Иш: PEARSON VERSUS SPEARMAN, KENDALL'S TAU CORRELATION ANALYSIS ON STRUCTURE-ACTIVITY RELATIONSHIPS OF BIOLOGIC ACTIVE COMPOUNDS

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. Universal data-driven models to estimate the solubility of anti-cancer drugs in supercritical carbon dioxide: Correlation development and machine learning modeling

   Farag M. A. Altalbawy, Nadhir N.A. Jafar, Dharmesh Sur +10

   МақолаPhase Equilibria and ThermodynamicsJournal of CO2 Utilization20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.000512

3. Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends

   Farag M. A. Altalbawy, Fadhel F. Sead, Dharmesh Sur +8

   МақолаPhase Equilibria and ThermodynamicsJournal of CO2 Utilization20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.000684