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

Unstructured texts dominate data in construction projects. With the achievements of natural
language processing (NLP) techniques, mining unstructured text data for smart construction …

Generative Pre-Trained Transformer (GPT) language models such as ChatGPT have the
potential to revolutionize the construction industry by automating repetitive and time …

The purpose of this article is to present a structured review of publications utilizing machine
learning methods to aid in engineering risk assessment. A keyword search is performed to …

In the construction industry under “Industry 4.0”, Natural Language Processing (NLP) has
been widely used to process and analyze text data to achieve construction intelligence …

This study adopted a three-step holistic review approach consisting of bibliometric review,
scientometric analysis, and in-depth discussion to gain a deeper understanding of the …

The needs to ground construction safety-related decisions under uncertainty on knowledge
extracted from objective, empirical data are pressing. Although construction research has …

Safety is one key consideration in the monitoring of construction projects by engineers.
Accidents in the project can potentially cause issues, such as workers' injury and progress …

Learning from past accidents is pivotal for improving safety in construction. However, hazard
records are typically documented and stored as unstructured or semi-structured free-text …

Learning from past accidents is fundamental to accident prevention. Thus, accident and near
miss reporting are encouraged by organizations and regulators. However, for organizations …