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Disaster Response

Papers

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Showing 101–150 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
Energy-Efficient Secure Offloading System Designed via UAV-Mounted Intelligent Reflecting Surface for Resilience Enhancement—0
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement LearningCode0
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response—0
Investigating disaster response through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season—0
Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model—0
Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries—0
AI for Anticipatory Action: Moving Beyond Climate Forecasting—0
DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios—0
The Viability of Domain Constrained Coalition Formation for Robotic Collectives—0
Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses—0
GPT4GEO: How a Language Model Sees the World's Geography—0
CrowdWeb: A Visualization Tool for Mobility Patterns in Smart Cities—0
Signal Novelty Detection as an Intrinsic Reward for RoboticsCode0
GUTS: Generalized Uncertainty-Aware Thompson Sampling for Multi-Agent Active Search—0
End-to-End Latency Optimization of Multi-view 3D Reconstruction for Disaster Response—0
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning—0
A Survey on Uncertainty Quantification Methods for Deep Learning—0
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations—0
Earthquake Magnitude and b value prediction model using Extreme Learning Machine—0
A Hierarchical Variable Autonomy Mixed-Initiative Framework for Human-Robot Teaming in Mobile Robotics—0
Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery—0
A General Purpose Neural Architecture for Geospatial Systems—0
LiDAR-guided object search and detection in Subterranean Environments—0
Transformer-based Flood Scene Segmentation for Developing Countries—0
Continual VQA for Disaster Response SystemsCode0
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