Since 2000, the research of uncertainty quantification (UQ) has been successfully applied in
many fields and has been highly valued and strongly supported by academia and industry …

This research study presents the development of a digital twin model using artificial neural
networks and global sensitivity analysis to estimate different exergy sustainability indicators …

Biodiversity loss remains a global challenge despite international commitment to the United
Nations Convention on Biodiversity. Biodiversity monitoring methods are often limited in …

The increasing quantity of overburden (OB) removal and disposal in external dump needs
proper management for active mining operation. Coal consumption in thermal plants …

Polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) in fly ash may pose health
threats to onsite workers due to their inevitable dispersion in the working environments …

ABSTRACT A method has been developed to estimate the environmental impact of wheel
loaders used in earthmoving operations. The impact is evaluated in terms of energy use and …

The thickness of virtually all modern aircraft pavements is determined using mechanistic-
empirical softwares. These tools provide significant advantage over the chart-based and …

Circular economy business models are key enablers of the circular economy. However, they
must also be economically viable to materialize in reality, since profitability is a major …

Makeup chemistries have evolved over the recent years and have become more long-wear,
waterproof and difficult to remove. Thus, many changes have occurred among products …

This paper proposes an innovative physics-informed and time-dependent surrogate method
based on machine learning to calibrate the parameters of detonation products for cylinder …