Building Tomorrow: Unleashing the Potential of Artificial Intelligence in Construction

Building Tomorrow: Unleashing the Potential of Artificial Intelligence in Construction

Bibliographic Details
Main Authors: Re Cecconi, Fulvio (Author), Khodabakhshian, Ania (Author), Rampini, Luca (Author)
Corporate Author: SpringerLink (Online service)
Summary:VI, 122 p. 37 illus., 31 illus. in color.
text
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edition:1st ed. 2025.
Series:PoliMI SpringerBriefs,
Subjects:
Engineering > Data processing.
Construction industry > Management.
Artificial intelligence.
Building information modeling.
Facility management.
Data Engineering.
Construction Management.
Artificial Intelligence.
Building Information Modeling.
Facility Management.
Online Access:https://doi.org/10.1007/978-3-031-77197-2
Format: Electronic eBook
Table of Contents:
  • 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.

Similar Items