This review paper provides a detailed evaluation of the existing landscape and future trends
in applying machine learning and deep learning approaches for predicting concrete strength …

Silica fume (SF) is a mineral additive that is widely used in the construction industry when
producing sustainable concrete. The integration of SF in concrete as a partial replacement …

This study aims to apply machine learning methods to predict the compression strength of
self-compacting recycled aggregate concrete. To obtain this goal, the ensemble methods …

The use of waste foundry sand (WFS) in concrete production has gained attention as an eco-
friendly approach to waste reduction and enhancing cementitious materials. However …

Currently, one of the topical areas of application of machine learning methods in the
construction industry is the prediction of the mechanical properties of various building …

Fly ash (FA) is the main additive to concretes currently produced. This substitute of ordinary
Portland cement (OPC) have a positive effect on the structure and mechanical parameters of …

The quality and composition of the components in Self-Compacting Concrete (SCC)
determine its compressive strength; however, determining these complex relationships …

Concrete is one of the most popular materials for building all types of structures, and it has a
wide range of applications in the construction industry. Cement production and use have a …

Several design parameters affect the reliability of wafer-level type advanced packaging,
such as upper and lower pad sizes, solder volume, buffer layer thickness, and chip …

The incorporation of waste foundry sand (WFS) into concrete has been recognized as a
sustainable approach to improve the strength properties of waste foundry sand concrete …