Towards an AEC-AI industry optimization algorithmic knowledge mapping: An adaptive methodology for macroscopic conceptual analysis

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MAUREIRA et al.2021.Towards an AEC-AI Industry Optimization Algorithmic Knowledge Mapping. An Adaptive Methodology for Macroscopic Conceptual Analysis.pdf (6.14 MB)

Date

2021

Document type

journal article

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Investigación
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Authors

Maureira, Carlos, Pinto, Hernan, Yepes, Victor, Garcia, Jose

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

URI

https://repositorio.udla.cl/handle/udla/1106

DOI

https://doi.org/10.1109/access.2021.3102215

Keywords

Industries, Artificial intelligence, Optimization, Machine learning algorithms, Ecosystems, Bibliometrics, Machine learning, Architecture, engineering and construction, AEC, artificial intelligence, literature corpus, machine learning, optimization algorithms, knowledge mapping and structure

Citation

IEEE Access, 9, 110842-110879. https://doi.org/10.1109/access.2021.3102215

Abstract

The Architecture, Engineering, and Construction (AEC) Industry is one of the most important productive sectors, hence also produce a high impact on the economic balances, societal stability, and globa...

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Creative Commons Attribution 4.0 International
Except where otherwised noted, this item's license is described as Creative Commons Attribution 4.0 International
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