Building Tomorrow: Unleashing the Potential of Artificial Intelligence in Construction

Building Tomorrow: Unleashing the Potential of Artificial Intelligence in Construction

Opis bibliograficzny
Główni autorzy: Re Cecconi, Fulvio (Autor), Khodabakhshian, Ania (Autor), Rampini, Luca (Autor)
Korporacja: SpringerLink (Online service)
Streszczenie:VI, 122 p. 37 illus., 31 illus. in color.
text
Język:angielski
Wydane: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Wydanie:1st ed. 2025.
Seria:PoliMI SpringerBriefs,
Hasła przedmiotowe:
Engineering > Data processing.
Construction industry > Management.
Artificial intelligence.
Building information modeling.
Facility management.
Data Engineering.
Construction Management.
Artificial Intelligence.
Building Information Modeling.
Facility Management.
Dostęp online:https://doi.org/10.1007/978-3-031-77197-2
Format: Elektroniczne Książka
Spis treści:
  • Is attention all we need
  • Is the construction industry ready for AI
  • AI for sustainability in the early project stages
  • AI for Construction Risk Management
  • Computer Vision for Asset and Facility Management
  • Industry 5 0 in Construction Towards a More Human Centric and Ethical AI.

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