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 …

Abstract Machine learning (ML) is an advanced computer algorithm that simulates the
human learning process to solve problems. With an explosion of monitoring data and the …

The purpose of this study is to experimentally analyse the performance and the pollutant
emissions of a four-stroke SI engine operating on ethanol–gasoline blends of 0%, 5%, 10 …

This study deals with artificial neural network (ANN) modeling of a diesel engine using
waste cooking biodiesel fuel to predict the brake power, torque, specific fuel consumption …

Over the past few decades, biodiesel produced from oilseed crops and animal fat is
receiving much attention as a renewable and sustainable alternative for automobile engine …

This study deals with usage of linear regression (LR) and artificial neural network (ANN)
modeling to predict engine performance; torque and exhaust emissions; and carbon …

The present study explores the potential of artificial neural network to predict the
performance and exhaust emissions of an existing single cylinder four-stroke CRDI engine …

Biodiesel is receiving increasing attention each passing day because of its fuel properties
and compatibility with the petroleum-based diesel fuel (PBDF). Therefore, in this study, the …

This study deals with artificial neural network (ANN) modeling of a spark ignition engine to
predict the engine brake power, output torque and exhaust emissions (CO, CO2, NOx and …

Biodiesel has been a lucrative commodity in the current global economic trade as there is
mounting concern for issues relating to the environment and oil depletion. Biodiesel has …