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) …

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 …

Instead of many experimental studies made for the suitability of biodiesel for use in diesel
engine, it has become easier to determine by fewer experiments with the development of …

In response to the stringent emission regulations, artificial neural network (ANN) coupled
with genetic algorithm (GA) is employed to optimize a novel internal combustion engine …

In China, about one-third of the land area is over 2000 m, and a large number of equipments
using diesel engines are operating in these areas. In order to optimizate the performance …

An investigation identified violations of the journal's policies on authorship and conflict of
interest related to the submission and review of this paper. Authorship changes were made …

This paper develops a machine learning-based method to predict gas turbine performance
for power generation. Two surrogate models based on high dimensional model …

Unconventional biodiesel characterization techniques using thermophysical and transport
properties have been receiving increasing attention due to its advantages over fundamental …

The rapid advancement of artificial intelligence (AI) in the 21st century is driving profound
societal changes and playing a crucial role in optimizing energy systems to achieve carbon …