Generative Adversarial Networks in the built environment: A comprehensive review of the application of GANs across data types and scales
Abstract Generative Adversarial Networks (GANs) are a type of deep neural network that
have achieved many state-of-the-art results for generative tasks. GANs can be useful in the …
have achieved many state-of-the-art results for generative tasks. GANs can be useful in the …
A review on the current usage of machine learning tools for daylighting design and control
Proper use of daylighting improves visual and thermal comfort in indoor environments and
minimizes dependency on artificial lighting, saving substantial amounts of energy …
minimizes dependency on artificial lighting, saving substantial amounts of energy …
Accelerated environmental performance-driven urban design with generative adversarial network
The morphological design of urban blocks greatly affects the outdoor environment.
Currently, performance-based urban and building design relies on a time-consuming …
Currently, performance-based urban and building design relies on a time-consuming …
Optimization and prediction in the early design stage of office buildings using genetic and XGBoost algorithms
Incorporating intelligent optimization algorithms in the early stages of office building design
facilitates a better response to the local climate. The indoor and outdoor thermal …
facilitates a better response to the local climate. The indoor and outdoor thermal …
Machine learning in architecture
This paper explores the utilisation of machine learning in architecture, focusing on the
addressed problems and commonly employed programming languages, software, platforms …
addressed problems and commonly employed programming languages, software, platforms …
Automatic responsive-generation of 3D urban morphology coupled with local climate zones using generative adversarial network
Decoupling the intricate relationship between three-dimensional (3D) urban morphology
and local climate is paramount importance in the realm of adaptive urban planning …
and local climate is paramount importance in the realm of adaptive urban planning …
[HTML][HTML] Identifying influential architectural design variables for early-stage building sustainability optimization
Architectural design variables (ADVs) highly influence a building's sustainability
performance. Thus, identifying which ADVs are most influential in a building's early stages is …
performance. Thus, identifying which ADVs are most influential in a building's early stages is …
A review and guide on selecting and optimizing machine learning algorithms for daylight prediction
Q Liu, Y Chen, Y Liu, Y Lei, Y Wang, P Hu - Building and Environment, 2023 - Elsevier
Daylight confers extensive benefits for building occupants and improves energy efficiency;
thus, its prediction and performance are significant for design decision-making on building …
thus, its prediction and performance are significant for design decision-making on building …
An interactive assessment framework for residential space layouts using pix2pix predictive model at the early-stage building design
Purpose In this study, a novel framework based on deep learning models is presented to
assess energy and environmental performance of a given building space layout, facilitating …
assess energy and environmental performance of a given building space layout, facilitating …
A systematic review on artificial intelligence applications in architecture
Since the advent and usage of artificial intelligence approaches in architecture, a significant
number of studies have focused on integrating technological solutions to architectural …
number of studies have focused on integrating technological solutions to architectural …