A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies

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Enhancing Hajj and Umrah Services Through Predictive Social Media Classification

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DisasterFormer: An Enhanced Transformer with Edge-Guided Attention for Disaster Image Recognition

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Multimodal Classification of Social Media Disaster Posts With Graph Neural Networks and Few-Shot Learning

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Mechanism-oriented Object–Environment–Emotion (OEE) framework for urban flood disaster assessment using multimodal social media

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Multi-agent role-playing by LLMs and LMMs: An explainable open-world multi-modal crisis tweet classification method

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ReliefNet: A Knowledge-Driven, Explainable AI Multimodal Framework for Disaster Severity Classification and Humanitarian Decision-Making

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

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Roadfed: A Multimodal Federated Learning System for Improving Road SafetyPreprint

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Context-aware embodied intelligence: from environmental understanding to autonomous decision-making

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Energy Supply Restoration in Post-earthquake Turkey 2023

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CBAM Enhanced CNN for Disaster Classification with XAI and Federated Learning

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Survey on Disaster Management Datasets for Remote Sensing-Based Emergency Applications

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A feature-optimized machine learning system for real-time crisis tweet identification

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Dynamic Adaptive Multimodal Graph Fusion Network for Multi-Hazard Recognition Using Remote Sensing, Social Media, IoT, and Seismic ObservationsPreprint

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LRIF-Net: Decision-Preserving Lightweight Recurrent Interaction Fusion for Multimodal Crisis Information Classification

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Reliability-Conditioned Heterogeneous Foundation-Model Residual Fusion for Multimodal Disaster Classification

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