In this paper, Internet of Things (IoT) and artificial intelligence (AI) are employed to solve the
issue of energy consumption in a case study of an education laboratory. IoT enables …

In this article, we cumulate previous research findings indicating that virtual process
optimization requires augmented reality tools, data-driven predictive modeling techniques …

Several studies have investigated digital learning management, but few did so, using
OpenAI ChatGPT together with a systematic literature review. The research reported here …

This study addresses a critical gap in concrete strength prediction by conducting a
comparative analysis of three deep learning algorithms: convolutional neural networks …

The present study systematically reviews the existing research on digital twins of smart cities
in relation to spatial data visualization tools, monitoring and sensing technologies, and …

Developing approaches for recognition and classification of awkward working postures is of
great significance for proactive management of safety risks and work-related …

This study aimed to investigate the key technical and psychological factors that impact the
architecture, engineering, and construction (AEC) professionals' trust in collaborative robots …

Advances in technology provides the potential to innovate sustainability in the building
construction industry. Drawing on the literature and expert reviews, this research discloses …

The use of greywater heat exchangers (GHEs) is an effective way to reduce energy
consumption for heating domestic water. However, the available characteristics of this type …

Recent technological advancements in distributed sensing, pervasive computing, context-
awareness, machine learning and Digital Twins (DTs) allow the built environment to cope …