Building Tomorrow: Unleashing the Potential of Artificial Intelligence in Construction

Détails bibliographiques
Auteurs principaux:	Re Cecconi, Fulvio (Auteur), Khodabakhshian, Ania (Auteur), Rampini, Luca (Auteur)
Collectivité auteur:	SpringerLink (Online service)
Résumé:	VI, 122 p. 37 illus., 31 illus. in color. text
Langue:	anglais
Publié:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Édition:	1st ed. 2025.
Collection:	PoliMI SpringerBriefs,
Sujets:	Engineering > Data processing. Construction industry > Management. Artificial intelligence. Building information modeling. Facility management. Data Engineering. Construction Management. Artificial Intelligence. Building Information Modeling. Facility Management.
Accès en ligne:	https://doi.org/10.1007/978-3-031-77197-2
Format:	Électronique Livre

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