Table 2 Recent studies on predicting DV and TC using ML techniques.
Reference | Year | Nanofluid | Method | Accuracy (R2) | TPP | |
|---|---|---|---|---|---|---|
DV | TC | |||||
2021 | SAE 5W40/MWCNT-TiO2 | ANN | 0.999 | ✓ | ||
2021 | Glycerol, EG/SiO2 | ANN | 0.994–0.995 | ✓ | ||
2022 | Water/Fe3O4 | ANN | 0.999 | ✓ | ||
2022 | SAE 50/SnO2–CeO2 | ANFIS | 0.9945 | ✓ | ||
2022 | SAE 10W40/CeO2-GO-SA | GMDH | 0.9993 | ✓ | ||
2023 | SAE 5W30/SiO2-MWCNT | GMDH | 0.9996 | ✓ | ||
2023 | Thermal Oil/MWCNT | MLPNN | 0.9980 | ✓ | ||
2023 | Thermal Oil/MWCNT | MLPNN | 0.9449 | ✓ | ||
2023 | Hydraulic Oil/GO-Fe3O4-TiO2 | GPR | 0.9994 | ✓ | ||
