TriDA: Privacy-Aware and Efficient Multimodal AI for Disaster Assessment
- DOI
- 10.3390/math14122064
- Published
- 2026-06-10
- Container
- Mathematics
- Publisher
- MDPI AG
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3390/math14122064,
title = {TriDA: Privacy-Aware and Efficient Multimodal AI for Disaster Assessment},
author = {Md Abdullahil Oaphy and Adeel Khalid and Da Hu and Honghui Xu},
year = {2026},
journal = {Mathematics},
doi = {10.3390/math14122064},
url = {https://doi.org/10.3390/math14122064}
}RIS
TY - JOUR TI - TriDA: Privacy-Aware and Efficient Multimodal AI for Disaster Assessment AU - Md Abdullahil Oaphy AU - Adeel Khalid AU - Da Hu AU - Honghui Xu PY - 2026 JO - Mathematics DO - 10.3390/math14122064 UR - https://doi.org/10.3390/math14122064 ER -
APA
Oaphy, M. A., Khalid, A., Hu, D., & Xu, H. (2026). TriDA: Privacy-Aware and Efficient Multimodal AI for Disaster Assessment. Mathematics. https://doi.org/10.3390/math14122064
Source records
- crossref · retrieved 2026-09-26T00:24:43.432Z