Biofuel, a cost-effective, safe, and environmentally benign fuel produced from renewable
sources, has been accepted as a sustainable replacement and a panacea for the damaging …

One of the greatest challenges faced by industries today is corrosion and of which, one of
the most vital forms is stress corrosion cracking (SCC). It brings highest forms of risks to the …

A novel genetic algorithm-based feature selection approach is incorporated and based on
these features, four different ML methods were investigated. According to the findings, ML …

Higher heating value (HHV) is a key characteristic for the assessment and selection of
biomass feedstocks as a fuel source. The HHV is usually measured using an adiabatic …

In the present study, temperature of 313.15–473.15 K and pressure of 0.5–200 MPa have
been developed for the CO 2 solubility simulations via deep learning artificial (ANN) neural …

This study presents a novel approach using machine learning techniques to estimate waste
materials' higher heating value (HHV), which plays a crucial role in waste-to-energy …

Drying shrinkage of alkali-activated binders are recognized as one of the most important
properties towards quality assurance of the binders. In this study, results of experimental …

Higher heating value, also known as the coal calorific value, is an important indicator of coal
quality. Nevertheless, traditional experimental determination of higher heating value is …

Modelling and simulation of municipal solid waste (MSW) gasification process is a complex
and computationally expensive task due to the porous structure of MSW and the nonlinear …

Due to heterogeneity in municipal solid waste (MSW) characteristics and composition, the
already available heating value estimation methods cannot be accurately applied for the …