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Classifying Building and Ground Relationships Using Unsupervised Graph-Level Representation Learning
When designing, architects must always consider the ground on which their buildings are supported. Our aim is to use data mining and artificial intelligence (AI) techniques to help architects identify emerging patterns and trends in building design and suggest relevant precedents.
Classifying Building and Ground Relationships Using Unsupervised Graph-Level Representation Learning
When designing, architects must always consider the ground on which their buildings are supported. Our aim is to use data mining and artificial intelligence (AI) techniques to help architects identify emerging patterns and trends in building design and suggest relevant precedents.
Classifying Building and Ground Relationships Using Unsupervised Graph-Level Representation Learning
Gero, John S (editor) / Alymani, Abdulrahman (author) / Mujica, Andrea (author) / Jabi, Wassim (author) / Corcoran, Padraig (author)
International Conference on - Design Computing and Cognition ; 2022 ; Glasgow, United Kingdom
Design Computing and Cognition’22 ; Chapter: 19 ; 305-320
2023-01-05
16 pages
Article/Chapter (Book)
Electronic Resource
English
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