In the construction industry under “Industry 4.0”, Natural Language Processing (NLP) has
been widely used to process and analyze text data to achieve construction intelligence …

In recent years, the construction industry has experienced an expansion in the multitude of
projects and emergent information. With the advent of deep learning, new opportunities …

Purpose The purpose of this paper is to investigate the potential integration of deep learning
(DL) and digital twins (DT), referred to as (DDT), to facilitate Construction 4.0 through an …

As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been
increasingly applied in the field of construction management (CM) during the last few …

Data science can create value by extracting structured and unstructured data using an
appropriate algorithm. Data science operations have undergone drastic changes because of …

The patents of information and communication technology (ICT) in construction are valuable
sources of technological solutions to communication problems in the construction practice …

Protecting intellectual property rights (IPR) in the architecture, engineering, and construction
(AEC) industry is a long-standing challenge. In the collaborative digital environments, where …

Advancements in sensor technology, artificial intelligence (AI), and augmented reality (AR)
have unlocked opportunities across various domains. AR and large language models like …

As the patent landscape continues to grow, so does the complexity of retrieving relevant
“prior art”,“background art”, or “state of the art” from an expanding pool of publicly available …

In this study, we investigate the technological landscape of green smart buildings, using
patent data from the European Patent Office (EPO) from 2007 onwards. Latent Dirichlet …