A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …

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 …

Combustion science is an interdisciplinary study that involves nonlinear physical and
chemical phenomena in time and length scales, including complex chemical reactions and …

The properties of butanol offer more promising results compared to those of lower chain
alcohol such as methanol or ethanol. However, butanol as a biofuel has not yet been …

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 …

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 detrimental environmental impacts of the use of conventional fuels, both gasoline and
diesel, have spurred researchers to seek alternative fuels that minimize these environmental …

In this study, effects of i-amyl alcohol/gasoline fuel blends on spark ignition (SI) engine
performance and emissions were investigated experimentally, predicted by Artificial Neural …

In today's era, the computational capabilities of artificial neural network has endorsed to be a
bedrock and inferences in many fields, including internal-combustion engines. The …

The combustion process in Homogeneous Charge Compression Ignition Engines (HCCI) is
one of the new methods of futuristic combustion technologies. Since there is no direct …