In an increasingly digital world, there are fast-paced developments in fields such as Artificial
Intelligence, Machine Learning, Data Mining, Digital Twins, Cyber-Physical Systems and the …

Human-technology interaction is concerned with trust as an inevitable user acceptance
requirement. As the applications of artificial intelligence (AI) and robotics emerge in the …

The rapid progression of technology has paved the path for the convergence of Artificial
Intelligence (AI), Internet of Things (IoT), and big data within the Architecture, Engineering …

In recent times, the construction industry has experienced notable progress, especially
through the amalgamation of Building Information Modelling (BIM) and Artificial Intelligence …

Purpose The rise of artificial intelligence (AI) and differing attitudes towards its adoption in
the building and environment (B&E) industry has an impact upon whether companies can …

In this study, a hybrid deep-learning model termed as ODANN, built upon neural networks
(NN) coupled with data assimilation and natural language processing (NLP) features …

The urban metro system is a complex system that is vulnerable to various kinds of hazards
and subjected to dynamics, where errors in any part are very likely to cause system failures …

The safety of the nearby buildings to the metro lines is directly affected by the underground
metro tunnel construction (MTC) activities. In this study, a new causality-based multi-model …

In the dynamic field of architecture, the incorporation of state-of-the-art technologies is
crucial for advancing design methodologies and achieving groundbreaking solutions. This …

This paper presents a framework for segmentation of imaging probe corrosion sensor data
using a deep learning algorithm and estimation of the remaining service life of the structure …