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A review on anaerobic digestion with focus on the role of biomass co-digestion, modelling and optimisation on biogas production and enhancement
T Kunatsa, X ** dissimilar artificial neural networks (ANNs) to prediction the thermal conductivity of MWCNT-TiO2/Water-ethylene glycol hybrid nanofluid
In this paper, we developed dissimilar artificial neural networks (ANNs) by suitable
architectures and training algorithms via sensitivity analysis to predict the thermal …
architectures and training algorithms via sensitivity analysis to predict the thermal …
Recent trends on nanofluid heat transfer machine learning research applied to renewable energy
Nanofluids have received increasing attention in research and development in the area of
renewable and sustainable energy systems. The addition of a small amount of high thermal …
renewable and sustainable energy systems. The addition of a small amount of high thermal …
Experimental study on thermal conductivity of ethylene glycol containing hybrid nano-additives and development of a new correlation
In this paper, an experimental investigation on the effects of hybrid nano-additives,
composed of magnesium oxide (MgO) and functionalized multi-walled carbon nanotubes …
composed of magnesium oxide (MgO) and functionalized multi-walled carbon nanotubes …