[HTML][HTML] An overview of machine learning applications for smart buildings

K Alanne, S Sierla - Sustainable Cities and Society, 2022 - Elsevier
The efficiency, flexibility, and resilience of building-integrated energy systems are
challenged by unpredicted changes in operational environments due to climate change and …

Trustworthy AI and robotics: Implications for the AEC industry

N Emaminejad, R Akhavian - Automation in Construction, 2022 - Elsevier
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 …

[HTML][HTML] Digital technologies can enhance climate resilience of critical infrastructure

SA Argyroudis, SA Mitoulis, E Chatzi, JW Baker… - Climate Risk …, 2022 - Elsevier
Delivering infrastructure, resilient to multiple natural hazards and climate change, is
fundamental to continued economic prosperity and social coherence. This is a strategic …

Construction with digital twin information systems

R Sacks, I Brilakis, E Pikas, HS Xie… - Data-Centric …, 2020 - cambridge.org
The concept of a “digital twin” as a model for data-driven management and control of
physical systems has emerged over the past decade in the domains of manufacturing …

Investigating the role of artificial intelligence technologies in the construction industry using a Delphi-ANP-TOPSIS hybrid MCDM concept under a fuzzy environment

K Wang, Z Ying, SS Goswami, Y Yin, Y Zhao - Sustainability, 2023 - mdpi.com
The construction business is always changing, and with the introduction of artificial
intelligence (AI) technology it is undergoing substantial modifications in a variety of areas …

Exploring graph neural networks for semantic enrichment: Room type classification

Z Wang, R Sacks, T Yeung - Automation in Construction, 2022 - Elsevier
Abstract Semantic enrichment of Building Information Modeling (BIM) models supplements
models with the implicit semantics for further applications. In this paper, we use the room …

Automatic concrete defect detection and reconstruction by aligning aerial images onto semantic‐rich building information model

J Chen, W Lu, J Lou - Computer‐Aided Civil and Infrastructure …, 2023 - Wiley Online Library
Concrete defect information is of vital importance to building maintenance. Increasingly,
computer vision has been explored for automated concrete defect detection. However …

Challenges and opportunities for low-carbon remediation in the Niger Delta: towards sustainable environmental management

IN Azuazu, K Sam, P Campo, F Coulon - Science of the Total Environment, 2023 - Elsevier
There is increasing demand for low-carbon remediation strategies for reducing greenhouse
gas emissions and promoting sustainable development in the management of …

Imperative role of technology intervention and implementation for automation in the construction industry

A Srivastava, S Jawaid, R Singh… - Advances in Civil …, 2022 - Wiley Online Library
According to sustainable development goals, the construction industry is one of the vital
industries that can build resilient and sustainable infrastructure for human settlements. As …

[HTML][HTML] Automating the retrospective generation of As-is BIM models using machine learning

P Schönfelder, A Aziz, B Faltin, M König - Automation in Construction, 2023 - Elsevier
The manual creation of digital models of existing buildings for operations and maintenance
is difficult and time-consuming. Machine learning and deep learning techniques have …