Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …

Artificial intelligence (AI) and Machine learning (ML) train machines to achieve a high level
of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily …

Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

While artificial intelligence (AI), and by extension machine learning (ML), continues to be
adopted in parallel engineering disciplines, the integration of AI/ML into the structural …

The design and sustainability of reinforced concrete deep beam are still the main issues in
the sector of structural engineering despite the existence of modern advancements in this …

Shear strength of corroded reinforced concrete (CRC) beams is a key concern in the design
and/or retrofit processes for an RC structure during its life-cycle. In this paper, we develop a …

River water quality modeling using crucial artificial intelligent (AI) models has become an
essential tool for river assessment and management. The simplified approach of river health …

The critical challenge for the cement production industry is the high emission of greenhouse
gases. For the sustainability in a cycling economy context civil and environmental engineers …

Corrosion of steel reinforcements is a major factor that will adversely affect the seismic
performance of the reinforced concrete (RC) columns. This paper investigates the …

With the informatization of the building and infrastructure industry, conventional analysis
methods are gradually proving inadequate in meeting the demands of the new era, such as …