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

This study aims at evaluating new service development (NSD) process of renewable energy
investments. A novel fuzzy hybrid multi-criteria decision-making model is then introduced …

A limited assessment of the development process and various stages of machine learning
(ML) based solutions for construction engineering (CE) problems are available in the …

Current approaches to automating cost estimation mainly focus on construction costs. Yet,
the two main services provided by design firms, namely 'designing the project', and …

Recent advancement in vision‐based robotics and deep‐learning techniques has enabled
the use of intelligent systems in a wider range of applications requiring object manipulation …

The availability of digital infrastructures and the fast-paced development of accompanying
revolutionary technologies have triggered an unprecedented reliance on Artificial …

Will women and men follow distinctively different paths to achieve executive engineering
leadership positions in the US architecture, engineering, and construction (AEC) industry …

Contractual changes—mainly substantial changes—within airport improvement program
(AIP) projects represent a critical risk that could result in severe negative time and cost …

Noncompetitive and collusive bidding behaviors have recently become a major concern in
public projects. Identifying the bidders involved in price manipulation protects the public …

The state-of-the-art design methods for railway prestressed concrete sleepers are currently
based on the quasi-static stresses resulting from a simplification of dynamic wheel loads …