Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …

In this work, machine learning (ML) applications in lignocellulosic bioethanol production
were reviewed. First, the pretreatment-hydrolysis-fermentation route, the most commonly …

In the recent times, the use of geosynthetic-reinforced soil (GRS) technology has become
popular for constructing safe and sustainable pavement structures. The strength of the …

Gas–liquid two-phase flows through long pipelines are one of the most common cases
found in chemical, oil, and gas industries. In contrast to the gas/Newtonian liquid systems …

From the perspective of renewability and environmental pollution, biodiesels are appropriate
alternatives to conventional diesel fuels due to their proper combustion behavior and …

In this study, a multivariate adaptive regression splines (MARS) model has been developed
to predict the settlement of shallow reinforced sandy soil foundations (RSSFs). The potential …

In this work, the algal biomass productivity and its lipid content were explored using a
database containing 4670 instances extracted from the experimental results reported in 102 …

The consumption of fossil fuels has exponentially increased in recent decades, despite
significant air pollution, environmental deterioration challenges, health problems, and …

In this study, a machine learning approach was used to predict thermal-hydraulic
performance of supercritical methane flow in a printed circuit heat exchanger (PCHE). Local …

The excessive reliance on fossil fuels has resulted in an energy crisis, environmental
pollution, and health problems, calling for alternative fuels such as biodiesel. Here, we …