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Disaster Response

Papers

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Showing 76–100 of 217 papers

TitleStatusHype
Distributed Autonomous Swarm Formation for Dynamic Network Bridging—0
Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery—0
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues—0
DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios—0
Autonomous Collaborative Scheduling of Time-dependent UAVs, Workers and Vehicles for Crowdsensing in Disaster Response—0
DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response—0
End-to-End Latency Optimization of Multi-view 3D Reconstruction for Disaster Response—0
Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses—0
Enhancing Privacy and Security of Autonomous UAV Navigation—0
Automatic Assignment of Semantic Frames in Disaster Response Team Communication Dialogues—0
Finding Eyewitness Tweets During Crises—0
FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video—0
A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation—0
ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing—0
DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition—0
FRIDA to the Rescue! Analyzing Synthetic Data Effectiveness in Object-Based Common Sense Reasoning for Disaster Response—0
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing—0
Cognitive Agent Based Simulation Model For Improving Disaster Response Procedures—0
From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility—0
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning—0
Gemini & Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multi-Modal Social Media Posts—0
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response—0
A Machine learning approach for rapid disaster response based on multi-modal data. The case of housing & shelter needs—0
Dialogue Act Classification in Team Communication for Robot Assisted Disaster Response—0
Detecting earthquakes: a novel deep learning-based approach for effective disaster response—0
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