Article ISI SCOPUS
Lecture Notes in Networks and Systems  (2023)

Optimization in AEC-AI 4.0 Industry Multi-level Adaptive Methodology for Knowledge Mapping

Maureira, Carlos; Sherratt, S; Dey, N

Abstract

Architecture, engineering, and construction (AEC) is characterized by the maintenance of “status-quo,” and in some areas the lagging innovation. The advances in Industry 4.0—powered by artificial intelligence (AI)—will drive all business sectors toward innovation. We present a method for analyzing textual concepts in a corpus of research literature relevant to the AEC, AI, and Industry 4.0. Our findings suggest that a target concept can be assessed at the macro-, meso-, and microscopic levels in a multi-level specification.

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Título según WOS: Optimization in AEC-AI 4.0 Industry Multi-level Adaptive Methodology for Knowledge Mapping
Título según SCOPUS: Optimization in AEC-AI 4.0 Industry Multi-level Adaptive Methodology for Knowledge Mapping
Título de la Revista: Lecture Notes in Networks and Systems
Volumen: 465
Editorial: Springer Science and Business Media Deutschland GmbH
Fecha de publicación: 2023
Página final: 737
Idioma: English
DOI:

10.1007/978-981-19-2397-5_65
Notas: ISI, SCOPUS