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AI-Driven Post-Earthquake Emergency Material Demand Prediction: Integrating RAG With Reasoning Large Language Model
7 references·0 citing·34 second hop
AI-Driven Post-Earthquake Emergency Material Demand Prediction: Integrating RAG With Reasoning Large Language Model (2025)AI-Driven Post-Earthquake Emergency Mater…LLM-Augmented Linear Transformer–CNN for Enhanced Stock Price Prediction (2025)LLM-Augmented Linear Transfor…Unraveling the prerequisites of citizen engagement intentions initiated by mobile government social media during emergencies: An integrative dual SEM-ANN analysis (2024)Unraveling the prerequisites …Enhancing emergency decision-making with knowledge graphs and large language models (2024)Enhancing emergency decision-…Enhanced earthquake impact analysis based on social media texts via large language model (2024)Enhanced earthquake impact an…Emergency medical supplies scheduling during public health emergencies: algorithm design based on AI techniques (2023)Emergency medical supplies sc…Surface vs. Air Shipment of Humanitarian Goods under Demand Uncertainty (2018)Surface vs. Air Shipment of H…A new approach on seismic mortality estimations based on average population density (2016)A new approach on seismic mor…Factors determining human casualty levels in earthquakes: Mortality prediction in building collapse. (1992)Natural Disasters (1993)A logistics model for emergency supply of critical items in the aftermath of a disaster (2011)Relief demand forecasting based on intuitionistic fuzzy case-based reasoning (2020)A systematic review of prediction methods for emergency management (2021)Demand prediction of emergency materials using case-based reasoning extended by the Dempster-Shafer theory (2022)A two-stage stochastic programming framework for transportation planning in disaster response (2004)A dynamic logistics coordination model for evacuation and support in disaster response activities (2006)Multi-objective optimal planning for designing relief delivery systems (2007)Location‐Routing with Conflicting Objectives: Coordinating eBeam Phytosanitary Treatment and Distribution of Mexican Import Commodities (2020)Flying through uncertainty: Air transportation’s impact on supply chain resilience and inventory efficiency (2025)Measurement of Inequality of Incomes (1921)Artificial intelligence in supply chain management: A systematic literature review (2020)Artificial intelligence in operations management and supply chain management: an exploratory case study (2021)Pre-positioning supplies with blockchain-supported inventory sharing in relief supply chains (2024)Recent advances in disaster emergency response planning: Integrating optimization, machine learning, and simulation (2025)Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery (2015)Rapid assessment of disaster damage using social media activity (2016)Social media for intelligent public information and warning in disasters: An interdisciplinary review (2019)A Multidimensional Study of the 2023 Beijing Extreme Rainfall: Theme, Location, and Sentiment Based on Social Media Data (2025)Leveraging large language models for citizen-centric urban accessibility analysis: a case study using Airbnb reviews in Dublin (2025)Public risk perception in extreme weather events: topic distribution, spatiotemporal analysis, and sentiment comparison on social media (2025)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Making sense of Cronbach's alpha (2011)Emergency decision making for natural disasters: An overview (2017)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Dynamic knowledge landscape construction for AI-driven emergency decision-making: An STM-LLM framework with triple-LLM synergistic labeling (2026)Twitter mood predicts the stock market (2011)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Applications of deep learning in stock market prediction: Recent progress (2021)RCSAN residual enhanced channel spatial attention network for stock price forecasting (2025)Marketing-AutoM3L: domain-aware automated machine learning for financial customer analytics (2026)
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References

  • 2024Enhancing emergency decision-making with knowledge graphs and large language models117 cited
  • 2025LLM-Augmented Linear Transformer–CNN for Enhanced Stock Price Prediction32 cited
  • 2024Enhanced earthquake impact analysis based on social media texts via large language model28 cited
  • 2023Emergency medical supplies scheduling during public health emergencies: algorithm design based on AI techniques27 cited
  • 2018Surface vs. Air Shipment of Humanitarian Goods under Demand Uncertainty19 cited
  • 2016A new approach on seismic mortality estimations based on average population density15 cited
  • 2024Unraveling the prerequisites of citizen engagement intentions initiated by mobile government social media during emergencies: An integrative dual SEM-ANN analysis14 cited

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