Acquiring photos and videos has become a new norm in construction and building projects.
However, imagery data is not utilized effectively due to the shortage of required skillsets in …

The unsafe behavior of construction workers is one of the main causes of safety accidents at
construction sites. To reduce the incidence of construction accidents and improve the safety …

Projects delays are among the most pressing challenges faced by the construction sector
attributed to the sector's complexity and its inherent delay risk sources' interdependence …

Detecting safety helmet wearing in surveillance videos is an essential task for safety
management, compliance with regulations, and reducing the death rate from construction …

Vibration quality is critical to ensure the concrete strength, which directly affects the long-
term safe operation of concrete structures. The vibration duration and vibration depth are key …

Abstract Machine learning plays a vital role in construction industry which could make
improve project's safety, productivity, and quality. Many studies have attempted to explore …

Machine Learning (ML), a subset of Artificial Intelligence (AI), is gaining popularity in the
architectural, engineering, and construction (AEC) sector. This systematic study aims to …

Many difficulties are encountered during evacuation from construction sites in hazardous
situations, which may lead to severe fatalities. These fatalities, especially caused by fire …

Current incentive mechanisms for construction safety highly rely on intermediaries and
massive paperwork, which lay a foundation for opportunistic behavior and poor performance …

Sewing defect detection is an essential step in garment production quality control. Although
sewing defects significantly influence the quality of clothing, they are yet to be studied widely …