AI-Driven Post-Earthquake Emergency Material Demand Prediction: Integrating RAG With Reasoning Large Language Model

AI-Driven Post-Earthquake Emergency Material Demand Prediction: Integrating RAG With Reasoning Large Language Model

The supply of emergency rescue materials plays a pivotal role in post-earthquake relief operations. However, varying disaster scenarios generate differentiated demands for emergency resources, where factors such as seasonal impacts, geographic environment of affected areas, population density, and r...

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Bibliographic Details
Main Authors: Song Zhang, Meng Huang, Shuai Liu, Fanxin Meng, Yingyao Xie, Xirui Ren, Yuanwang Zhang, Wenbo Shao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Emergency relief supply prediction
large language models
retrieval-augmented generation
Online Access:https://ieeexplore.ieee.org/document/11029010/
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https://ieeexplore.ieee.org/document/11029010/

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