Visual data captured at construction sites is a rich source of information for the day-to-day
operation of construction projects. The development of deep-learning-based methods has …

Construction sites are among the most hazardous places with various safety issues. The
high rate of hazards on construction sites can be attributed to the dynamic and complex …

The ability to monitor and track the interactions between construction equipment and
workers can lead to creating a safer and more productive work environment. Most recent …

A traditional structural analysis of scaffolding structures requires loading conditions that are
only possible during design, but not in operation. Thus, this study proposes a method that …

The construction industry is considered as a hazardous industry because of its high number
of accidents and fatality rates. Safety is one of the main requirements on construction sites …

Recent advancements in data science have attracted construction researchers towards
sophisticated techniques in data analytics, such as machine learning (ML), for the active …

For the last five years, image processing using artificial neural networks (ANN) got several
researchers interested in the field of Civil Engineering. As the artificial neural network, which …

Recent applications of deep learning (DL)-based methods in construction have achieved
notable momentum in making the construction management process smarter. The …

This research finds that virtual buildings that are automatically generated using parametric
building information modeling (BIM) can provide high-quality training data for teaching an …

Construction safety is vitally important to a construction project in terms of workers'
occupational health, maintaining labor productivity, avoiding schedule delay and financial …