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Disaster Response

Papers

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Showing 101–125 of 217 papers

TitleStatusHype
Responsible AI for Earth Observation—0
Gemini & Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multi-Modal Social Media Posts—0
Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning—0
FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation—0
ATSumm: Auxiliary information enhanced approach for abstractive disaster Tweet Summarization with sparse training data—0
ADSumm: Annotated Ground-truth Summary Datasets for Disaster Tweet Summarization—0
QuakeBERT: Accurate Classification of Social Media Texts for Rapid Earthquake Impact Assessment—0
Large Language Models for UAVs: Current State and Pathways to the Future—0
Enhancing Privacy and Security of Autonomous UAV Navigation—0
StrideNET: Swin Transformer for Terrain Recognition with Dynamic Roughness Extraction—0
Monitoring Critical Infrastructure Facilities During Disasters Using Large Language Models—0
Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response—0
Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach—0
Distributed Autonomous Swarm Formation for Dynamic Network Bridging—0
TAFormer: A Unified Target-Aware Transformer for Video and Motion Joint Prediction in Aerial Scenes—0
From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility—0
Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster ResponseCode0
Meta Reinforcement Learning for Strategic IoT Deployments Coverage in Disaster-Response UAV Swarms—0
SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition—0
Towards AI-driven Integrative Emissions Monitoring & Management for Nature-Based Climate Solutions—0
Machine Learning and Citizen Science Approaches for Monitoring the Changing Environment—0
Leveraging CNNs and Ensemble Learning for Automated Disaster Image Classification—0
Short vs. Long-term Coordination of Drones: When Distributed Optimization Meets Deep Reinforcement Learning—0
Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment—0
GRAPE-S: Near Real-Time Coalition Formation for Multiple Service Collectives—0
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