Abstract Machine learning (ML) and deep learning (DL) are both branches of AI. As a form of
AI, ML automatically adapts to changing datasets with minimal human interference. Deep …

The growth of the construction industry is severely limited by the myriad complex challenges
it faces such as cost and time overruns, health and safety, productivity and labour shortages …

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 construction industry worldwide has been a late bloomer to adopting digital technology,
where construction projects are predominantly managed with a heavy reliance on the …

Purpose This study reviews the extent of application of artificial intelligence (AI) tools in the
construction industry. Design/methodology/approach A thorough literature review (based on …

The integration of generative Artificial Intelligence (AI) systems, such as ChatGPT, into the
construction industry represents a transformative force with profound implications. This …

With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …

The prominence gained by Artificial Intelligence (AI) over all aspects of human activity today
cannot be overstated. This technology is no newcomer to structural engineering, with logic …

While acknowledging the widespread recognition of artificial intelligence's (AI) potential in
achieving sustainable development, there remains a notable deficiency and thorough …

In recent years, researchers have relied heavily on data (historical and real-time) and digital
solutions to support informed decisions. Consequently, data analysis has become an …