Thousands of images and videos are collected from construction projects during
construction. These contain valuable data that, if harnessed efficiently, can help automate or …

The development of artificial intelligence technology is currently bringing about new
opportunities in construction. Machine learning is a major area of interest within the field of …

Water quality monitoring is an important component of water resources management. In
order to predict two water quality variables, namely dissolved oxygen (DO; mg/L) and …

The process of identifying and bringing to the fore people's unsafe behaviour is a core
function of implementing a behaviour-based safety (BBS) program in construction. This can …

Advancements in the development of deep learning and computer vision-based approaches
have the potential to provide managers and engineers with the ability to improve the safety …

Visual examination of the workplace and in‐time reminder to the failure of wearing a safety
helmet is of particular importance to avoid injuries of workers at the construction site. Video …

Hazards potentially affect the safety of people on construction sites include falls from heights
(FFH), trench and scaffold collapse, electric shock and arc flash/arc blast, and failure to use …

Deep learning has been acknowledged as being robust in managing and controlling the
performance of construction safety. However, there is an absence of state-of-the-art review …

Detecting and locating precast components to confirm and update components' status
information is the key to construction progress monitoring. There are several ways to collect …

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 …