Data-driven technology such as Artificial Intelligence is considered an essential enabler of
circular economy (CE) in the building construction industry (BCI). As both AI and CE …

In the ever-evolving landscape of construction engineering and management (CEM), the
dynamic and unique characteristics of construction project environments constantly present …

Although substantial progress in safety management performance has been made in the
construction industry, continuing fatalities and injuries at workplaces hinder sustainable …

Purpose This paper aims to clarify the efficient process of the machine learning algorithms
implemented in the ready-mix concrete (RMC) onsite. It proposes innovative machine …

The growing demand for buildings and infrastructures requires optimal construction
schedules under real-world complexities. This paper presents an automated scheduling …

Emerging studies are utilizing reinforcement learning (RL) and imitation learning (IL) to
control large-scale robots in heavy construction tasks. There is limited attention given to the …

Construction engineering and management (CEM) involves multiple stakeholders, complex
interest relationships, and conflicts. All stakeholders must comprehensively consider the …

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 …

Traditional methods have limitations in achieving precise predictions of risk occurrence at an
exact future time and have difficulties transforming between qualitative and quantitative …

With the increasing complexity of construction site environments, robust object detection and
segmentation technologies are essential for enhancing intelligent monitoring and ensuring …