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) …

The surface transport industries are under enormous pressure because, the world leaders
have emphasized the requirement to restrict global warming to 1.5° Celsius in United …

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 …

This study aims to employ two artificial intelligence (AI) methods, namely, artificial neural
networks (ANNs) and adaptive neuro fuzzy inference system (ANFIS) model, for predicting …

As the economy has improved in Iran, residents have produced more municipal solid wastes
in recent decades. The various scenarios for municipal solid waste management are …

Energy security and global warming concern are the two main driving forces for the global
alcohol development that also have the effort to animate the agro-industry. Generally …

In order to improve engine performance by reducing hydrocarbon (HC) emissions from cold
start of gasoline engine, firstly, cold-start emission control measures such as pre-treatment …

Exhaust gas temperature is a key parameter for optimizing engine performance and
emissions. Of particular interest is forecasting the exhaust gas temperature in a diesel …

Prediction of agricultural energy output and environmental impacts play important role in
energy management and conservation of environment as it can help us to evaluate …