Viscosity of nanofluids can significantly affect pum** power, pressure drop, workability of
the nanofluid as well as its convective heat transfer coefficient. Experimental measurements …

In the present paper, artificial neural networks (ANNs) are considered from a mathematical
modeling point of view. A short introduction to feedforward neural networks is outlined …

Strain sensor network-based structural health monitoring systems have been used to assess
the safety of high-rise buildings. In consideration of life cycle of high-rise buildings, long-term …

The operating status of an enterprise is disclosed periodically in a financial statement. As a
result, investors usually only get information about the financial distress a company may be …

To have a sustainable economy and environment, several countries have widely inclined to
the utilization of non-fossil fuels like biomass fuels to produce heat and electricity. The …

Oil recovery during in situ combustion is majorly controlled by hydrocarbon oxidation and
pyrolysis reactions, which govern fuel formation and heat evolution. Fuel deposition, in turn …

In this study, an approach based on artificial neural network (ANN) was proposed to predict
the experimental cutting temperatures generated in orthogonal turning of AISI 316L stainless …

This paper reports an intelligent approach for process modeling and optimization of electric
discharge machining (EDM). Physics based process modeling using finite element method …

Transformer oil-based nanofluids are known to have higher thermal conductivity and heat
transfer performance compared to conventional transformer oils. In this study, four different …

Traditionally, analytical equations used in tribo-dynamic modelling, such as those used for
predicting central film thickness within elastohydrodynamic lubricated contacts, have led to …