Muestra métricas de impacto externas asociadas a la publicación. Para mayor detalle:
| Indexado |
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| DOI | 10.1007/978-981-19-2397-5_65 | ||||
| Año | 2023 | ||||
| Tipo | proceedings paper |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
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.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Maureira, Carlos | Hombre |
Pontificia Universidad Católica de Valparaíso - Chile
Universidad Bernardo O'Higgins - Chile |
| 2 | ALLENDE-CID, HECTOR GABRIEL | Hombre |
Pontificia Universidad Católica de Valparaíso - Chile
|
| 3 | GARCIA-CONEJEROS, JOSE ANTONIO | Hombre |
Pontificia Universidad Católica de Valparaíso - Chile
|
| 4 | Yang, XS | - | |
| 5 | Sherratt, S | - | |
| 6 | Dey, N | - | |
| 7 | Joshi, A | - |