Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …

Biodiesel has been emerging as a potential and promising biofuel for the strategy of
reducing toxic emissions and improving engine performance. Computational methods …

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 …

Energy is a basic requirement for development in the world. The continuously rising demand
for energy resources and the fast depletion of fossil fuel is raises researcher's concern to …

Bioenergy is widely considered a sustainable alternative to fossil fuels. However, large‐
scale applications of biomass‐based energy products are limited due to challenges related …

Alternative fuel is one of the widely used fuel substitutions for both petrol and diesel in the
field of internal combustion engine. The increase in the demand for alternative fuel is …

Utilizing renewable feedstock for the production of alternate fuels is a challenging task. The
need for finding a new fuel is gaining importance owing to rapid depletion of fossil-fuel …

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 …

The utilization of non-renewable energy sources leads to long-standing unfavorable
consequences on human health and environmental issues. Ever growing demand and use …

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) …