Abstract Machine learning (ML) and deep learning (DL) are both branches of AI. As a form of
AI, ML automatically adapts to changing datasets with minimal human interference. Deep …

As aging problem gets severe, more elderly people require better residences to support their
later lives. Considering complicated safety and health risks the elderly would encounter …

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 …

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

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

Abstract Graph Neural Networks (GNNs) have emerged as a promising solution for
effectively handling non-Euclidean data in construction, including building information …

Public-private partnerships (PPPs) are efficient methods for constructing infrastructures that
create many opportunities, specifically in financial crises. However, the cost/time overruns …

Optimizing building designs for energy efficiency and occupant comfort presents significant
challenges due to the complex and often conflicting requirements of various stakeholders …

In the fight against climate change, and to improve its sustainability standards, the building
sector is trying to reduce its energy consumption and environmental footprint. Leveraging …

The architecture, engineering, and construction (AEC) sector is currently experiencing a
profound shift in its paradigm through the incorporation of Building Information Modelling …