An experimental and numerical investigation was conducted to examine the formation of
soot in methane/air laminar diffusion flames under varying CO2 dilution ratios, ranging from …

As opaque black-box predictive models become more prevalent, the need to develop
interpretations for these models is of great interest. The concept of variable importance and …

The introduction of hydrogen–methane blends as fuel in gas turbines raises concerns on the
capability of state-of-art ventilation systems to dilute possible fuel leaks in the enclosures …

Marine diesel engines are crucial for powering large vessels in the maritime sector and are
known for their efficiency across various industries. However, increasing environmental …

This paper investigates gas turbine modeling techniques based on machine learning
algorithms. Utilizing polynomial regression (PR), K-Nearest Neighbor (KNN), decision trees …