Generative spatial artificial intelligence for sustainable smart cities: A pioneering large flow model for urban digital twin
Rapid urbanization, alongside escalating resource depletion and ecological degradation, underscores the critical need for innovative urban development solutions. In response, sustainable smart cities are increasingly turning to cutting-edge technologies—such as Generative Artificial Intelligence (Ge...
Saved in:
Main Authors: | Jeffrey Huang, Simon Elias Bibri, Paul Keel |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Environmental Science and Ecotechnology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666498425000043 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The philosophical foundations of digital twinning
by: David J Wagg, et al.
Published: (2025-01-01) -
Advances and utility of digital twins in critical care and acute care medicine: a narrative review
by: Gabriele A. Halpern, et al.
Published: (2025-01-01) -
Which curriculum components do medical students find most helpful for evaluating AI outputs?
by: William J. Waldock, et al.
Published: (2025-02-01) -
ARTIFICIAL INTELLIGENCE AS A METHODOLOGICAL INNOVATION IN THE TRAINING OF FUTURE DESIGNERS: MIDJOURNEY TOOLS
by: Ivan M. Tsidylo, et al.
Published: (2023-10-01) -
AI foundation models for experimental fusion tasks
by: R. Michael Churchill
Published: (2025-02-01)