The recent development of machine learning (ML) and Deep Learning (DL) increases the
opportunities in all the sectors. ML is a significant tool that can be applied across many …

Through the combination of virtual and real, multi-dimensional perception, and accurate
mapping, digital twin (DT) could describe the physical world in real-time and provide a …

We use a previously unexplored Bayesian optimization framework,“evolutionary Monte
Carlo sampling,” to systematically design the arrangement of defects in an architected …

The prominence gained by Artificial Intelligence (AI) over all aspects of human activity today
cannot be overstated. This technology is no newcomer to structural engineering, with logic …

This paper explores the utilisation of machine learning in architecture, focusing on the
addressed problems and commonly employed programming languages, software, platforms …

An efficient approach for improving the predictive understanding of dynamic mechanical
system variability is developed in this work. The approach requires low model assessment …

As the impact of crime on the lives of residents has increased, there are a number of
methods for predicting where crime will occur. They tend to explore only the association …

The intelligent design method based on generative adversarial networks (GANs) represents
an emerging structural design paradigm where design rules are not artificially defined but …

Wind turbines play an integral role in energy transition agendas. The optimized design of
wind turbine foundations is a complex and intricate task that requires iterative running of …

This study offers a complete analysis of the use of deep learning or machine learning, as
well as precise recommendations on how these methods could be used in the creation of …