[HTML][HTML] Building performance simulation in the brave new world of artificial intelligence and digital twins: A systematic review
P de Wilde - Energy and Buildings, 2023 - Elsevier
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 …
Intelligence, Machine Learning, Data Mining, Digital Twins, Cyber-Physical Systems and the …
Trustworthy AI and robotics: Implications for the AEC industry
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 …
requirement. As the applications of artificial intelligence (AI) and robotics emerge in the …
Integrating leading-edge artificial intelligence (AI), internet of things (IOT), and big data technologies for smart and sustainable architecture, engineering and …
N Rane - … and Construction (AEC) Industry: Challenges and …, 2023 - papers.ssrn.com
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 …
Intelligence (AI), Internet of Things (IoT), and big data within the Architecture, Engineering …
Integrating Building Information Modelling (BIM) and Artificial Intelligence (AI) for Smart Construction Schedule, Cost, Quality, and Safety Management: Challenges …
N Rane - Cost, Quality, and Safety Management: Challenges …, 2023 - papers.ssrn.com
In recent times, the construction industry has experienced notable progress, especially
through the amalgamation of Building Information Modelling (BIM) and Artificial Intelligence …
through the amalgamation of Building Information Modelling (BIM) and Artificial Intelligence …
Prospects, drivers of and barriers to artificial intelligence adoption in project management
G Shang, SP Low, XYV Lim - Built Environment Project and Asset …, 2023 - emerald.com
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 …
the building and environment (B&E) industry has an impact upon whether companies can …
Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission
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 …
(NN) coupled with data assimilation and natural language processing (NLP) features …
Vulnerability modeling, assessment, and improvement in urban metro systems: A probabilistic system dynamics approach
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 …
and subjected to dynamics, where errors in any part are very likely to cause system failures …
Causality-based multi-model ensemble learning for safety assessment in metro tunnel construction
L Chang, L Zhang, X Xu - Reliability Engineering & System Safety, 2023 - Elsevier
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 …
metro tunnel construction (MTC) activities. In this study, a new causality-based multi-model …
Leading-edge technologies for architectural design: a comprehensive review
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 …
crucial for advancing design methodologies and achieving groundbreaking solutions. This …
Process Mining, Modeling, and Management in Construction: A Critical Review of Three Decades of Research Coupled with a Current Industry Perspective
The so-called digital transformation of the construction industry is essential to overcoming
long-standing global productivity stagnation. This transformation aims to adopt the latest …
long-standing global productivity stagnation. This transformation aims to adopt the latest …