Forecasting Demand for Emergency Material Classification Based on Casualty Population
Accurately forecasting emergency material demand during the initial stages of disaster response is challenging due to communication disruptions and data scarcity. This study proposes a hybrid model integrating regression analysis and intelligent analysis to estimate casualties and predict emergency...
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| Main Authors: | Jianliang Yang, Kun Zhang, Hanping Hou, Na Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Systems |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-8954/13/6/478 |
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