Cite this paper
https://doi.org/https://doi.org/10.1016/j.compind.2026.104478
Or copy a formatted citation
@article{xiaoxia2026,
title = {{A multimodal link prediction approach for bridge maintenance via spatiotemporal feature fusion and cross-modal contrastive interaction}},
author = {Xiaoxia Yang et al.},
journal = {Computers in Industry},
year = {2026},
doi = {https://doi.org/https://doi.org/10.1016/j.compind.2026.104478},
}TY - JOUR
TI - A multimodal link prediction approach for bridge maintenance via spatiotemporal feature fusion and cross-modal contrastive interaction
AU - al., Xiaoxia Yang et
JO - Computers in Industry
PY - 2026
ER -
Xiaoxia Yang et al. (2026). A multimodal link prediction approach for bridge maintenance via spatiotemporal feature fusion and cross-modal contrastive interaction. *Computers in Industry*. https://doi.org/https://doi.org/10.1016/j.compind.2026.104478
Xiaoxia Yang et al.. "A multimodal link prediction approach for bridge maintenance via spatiotemporal feature fusion and cross-modal contrastive interaction." *Computers in Industry* (2026). https://doi.org/https://doi.org/10.1016/j.compind.2026.104478.
A multimodal link prediction approach for bridge maintenance via spatiotemporal feature fusion and cross-modal contrastive interaction
Xiaoxia Yang et al. · Computers in Industry · 2026
https://doi.org/https://doi.org/10.1016/j.compind.2026.104478
Paste directly into BibTeX, Zotero, or your reference manager.