Concrete constructed using recycled aggregates in place of natural aggregates is an
efficient approach to increase the construction sector's sustainability. To improve recycled …

Self-compacting mortar (SCM) has superior workability and long-term durable performance
compared to traditional mortar. The strength of SCM, including both its compressive and …

This study investigated the feasibility of using machine learning (ML)-based models to
simulate the behavior of micropollutants (MPs) in the forward osmosis (FO) membrane water …

Block ramps are among the environmentally friendly hydraulic structures used for energy
dissipation in rivers and waterways. Modeling the energy dissipation on these structures is …

This study seeks to present a sophisticated artificial intelligence (AI) framework to model the
compressive strength (fc′) of concrete containing waste foundry sand (WFS), with the aim …

In this research, test methods followed by supervised machine learning (SML) modeling
were used to examine the effect of glass powder as a partial sand and cement substitute on …

Increasing global energy demands and decreasing stocks of fossil fuels have led to a
resurgence of research into energy forecasting. Artificial intelligence, explicitly time series …

The economic value of a mineral resource is highly dependent on the accuracy of grade
estimations. Accurate predictions of mineral grades can help businesses decide whether to …

A key goal of environmental policies and circular economy strategies in the construction
sector is to convert demolition and industrial wastes into reusable materials. As an industrial …

Recycling waste glass (WG) can be time-consuming, costly, and impractical. However, its
incorporation into concrete significantly reduces environmental impact and carbon …