Ушбу ишга иқтибос қилган ишлар

3 та иш

Иш: A well-trained artificial neural network for predicting the rheological behavior of MWCNT–Al2O3 (30–70%)/oil SAE40 hybrid nanofluid

1. Accurate prediction of the rheological behavior of MWCNT-Al2O3/water-ethylene glycol nanofluid with metaheuristic-optimized machine learning models

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   МақолаNanofluid Flow and Heat TransferInternational Journal of Thermal Sciences20251 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.000663

2. Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods

   Abhinav Kumar, Paul Rodrigues, Ali Kamil Kareem +7

   МақолаHydrocarbon exploration and reservoir analysisScientific Reports20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.002750

3. Prediction methods and influencing factors on the viscosity of nanofluids using machine learning: A comprehensive review

   Shuangcen Li, Ali Basem, Ahmed Kateb Jumaah Al-Nussairi +6

   МақолаNanofluid Flow and Heat TransferInternational Communications in Heat and Mass Transfer20260 иқтибос

   ABIABI:AkademIndex/openalex/2026.article.012142