Multimodal AI fusion for infrastructure resilience: real-time urban analytics framework aligned with SDG-9.
- DOI
- 10.3389/frai.2025.1612431
- Published
- 2025
- Container
- Frontiers in artificial intelligence
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2025.1612431,
title = {Multimodal AI fusion for infrastructure resilience: real-time urban analytics framework aligned with SDG-9.},
author = {Kalyan Chakravarthi NS and Jafar Ali Ibrahim S and Kolandaisamy R and Parveena M and Srenevasulu M and Sivaprasad G},
year = {2025},
journal = {Frontiers in artificial intelligence},
doi = {10.3389/frai.2025.1612431},
url = {https://doi.org/10.3389/frai.2025.1612431}
}RIS
TY - JOUR TI - Multimodal AI fusion for infrastructure resilience: real-time urban analytics framework aligned with SDG-9. AU - Kalyan Chakravarthi NS AU - Jafar Ali Ibrahim S AU - Kolandaisamy R AU - Parveena M AU - Srenevasulu M AU - Sivaprasad G PY - 2025 JO - Frontiers in artificial intelligence DO - 10.3389/frai.2025.1612431 UR - https://doi.org/10.3389/frai.2025.1612431 ER -
APA
NS, K. C., S, J. A. I., R, K., M, P., M, S., & G, S. (2025). Multimodal AI fusion for infrastructure resilience: real-time urban analytics framework aligned with SDG-9.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2025.1612431
Source records
- pubmed · retrieved 2026-09-25T07:50:38.615Z