In automotive applications, artificial neural network (ANN) is now considered as a favorable
prediction tool. Since it does not need an understanding of the system or its underlying …

The automotive industry is facing a crucial time. The transformation from internal combustion
engines to new electrical technologies requires enormous investment, and hence the IC …

Timely regional air quality forecasting in a city is crucial and beneficial for supporting
environmental management decisions as well as averting serious accidents caused by air …

This paper investigates use of artificial neural network (ANN) model in prediction of brake
specific energy consumption (BSEC), nitrogen oxides (NO x), unburnt hydrocarbon (UHC) …

Due to the significant effects of CO 2 emissions on climate change and global warming, as
well as its serious hazards to human health, the prediction of CO 2 emission is a vital issue …

This present investigation focuses on prediction of engine responses of a single cylinder CI
engine powered by bio-diesohol (diesel-palm biodiesel-ethanol) blends using RSM …

The current automobile industry is greatly dependent upon petroleum supplies and is
moving toward its terminating phases very soon. The depletion of petrol fuel reserves is …

Air bearings are commonly used in systems requiring high precision, including
semiconductor manufacturing, optical and electronic devices, and aerospace systems, and …

The evaluation of the performance and emission parameters of an ethanol-fueled HCCI
engine is a challenging one, because of non-linear nature of the parameters. In this …

The present work investigates the influence of advanced injection strategy on a common rail
direct injection assisted diesel engine characteristics fuelled with biodiesel and conventional …