Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …

In the present study, numerous artificial neural networks were employed to predict the
combustion characteristics of a four-stroke, single-cylinder, naturally aspirated diesel …

Saybolt color is a standard measurement scale used to determine the quality of petroleum
products and the appropriate refinement process. However, the current color measurement …

Accurate prediction of combustion state is crucial for an in-depth understanding of furnace
performance and optimize operation conditions. Traditional data-driven approaches such as …

The flame temperature and pollutant emission (of NO and CO) characteristics in distributed
combustion were examined using data-driven artificial neural network (ANN) approach …

The engine experiments require multiple tests that are hard, time-consuming, and high cost.
Therefore, an artificial neural network model was developed in this study to successfully …

A first attempt is made to use recently developed, non-conventional Artificial Neural Network
(ANN) models with Multilayer Perceptron (MLP), Radial Basis Function (RBF) and Adaptive …

This paper addresses the experimental and numerical modeling of NO x emissions and lean
blow off (LBO) stability limits of natural gas and biogas fuels reactions stabilized with a low …

In the current study, exergetic metaheuristic design for a business jet aircraft are presented
for the prediction of exergetic sustainability index (ESI) and environmental effect factor (EEF) …

An aircraft is a complex system that requires methodologies for an efficient thermodynamic
design process. So, it is important to gain a deeper understanding of energy and exergy use …