In the past two decades, structural health monitoring (SHM) systems have been widely
installed on various civil infrastructures for the tracking of the state of their structural health …

Practical interest in 'computer vision'has risen remarkably over the last 20 years,
transforming the current state of construction-related research and attracting the worldwide …

Buildings account for a significant portion of our overall energy usage and associated
greenhouse gas emissions. With the increasing concerns regarding climate change, there …

The internet of things, artificial intelligence and cloud computing offer new opportunities for
smart applications in many industries. Potential benefits include improvements of industrial …

The use of machine learning (ML) in smart building applications is reviewed in this article.
We split existing solutions into two main classes: occupant-centric versus energy/devices …

The building sector accounts for 36% of the total global energy usage and 40% of
associated Carbon Dioxide emissions. Therefore, the forecasting of building energy …

In recent years, research on convolutional neural networks (CNN) and recurrent neural
networks (RNN) in deep learning has been actively conducted. In order to provide more …

The integration of generative Artificial Intelligence (AI) systems, such as ChatGPT, into the
construction industry represents a transformative force with profound implications. This …

Having a significant economic impact in country's GDP and being a major workforce,
construction industry is yet characterized by low production rate, low technological …

The built environment sector is responsible for almost one-third of the world's final energy
consumption. Hence, seeking plausible solutions to minimise building energy demands and …