Natural disasters can cause severe damages to civil infrastructure and lead to extensive
economic losses and casualties. To improve the emergency response capability of civil …

High occupational injury and fatality rate in the construction industry is a serious global
concern. Recognizing AI as a solution to enhance safety performance, this study reviews …

There is a growing interest in exploring the use of wearable Augmented Reality (AR)
devices to improve the task performance of construction workers. However, user interaction …

The growing environmental concerns have emerged the necessity of sustainable waste
management of construction and demolition (C&D) wastes. This review explores the …

Despite deep learning's widespread success, its data-hungry and computationally
expensive nature makes it impractical for many data-constrained real-world applications …

Abstract Generative Adversarial Networks (GANs) have emerged as a powerful tool rapidly
advancing the state-of-the-art in numerous domains. This paper conducts a comprehensive …

Low situational awareness contributes to safety incidents in construction. Existing Deep
Learning (DL)-based applications lack the capability to provide context-specific and …

Deep learning-based object detection (DLOD) methods are crucial in assisting dynamic
construction site management (DCSM) but have not been systematically studied. This paper …

Current research on personal protective equipment (PPE) detection has mainly focused on
hard hats, overlooking the detection of reflective clothing. Therefore, this study aims to …

Ensuring the safety of workers and machinery during operations is a critical task in the
construction sites. However, an inevitable circumstance in construction sites is the complex …