TriDA: Privacy-Aware and Efficient Multimodal AI for Disaster Assessment

As disaster imagery and social media reports become vital for crisis response, automated assessment systems must address challenges of multimodal integration, privacy-aware learning, and computational efficiency. To address these challenges, we propose TriDA, a privacy-aware and efficiency-conscious...

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Principais autores:	Md Abdullahil Oaphy, Adeel Khalid, Da Hu, Honghui Xu
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2026-06-01
Serija:	Mathematics
Teme:	disaster assessment privacy-preserving multimodal AI efficient AI
Online dostop:	https://www.mdpi.com/2227-7390/14/12/2064
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