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Disaster Response

Papers

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Showing 51–75 of 217 papers

TitleStatusHype
Spatially-Heterogeneous Causal Bayesian Networks for Seismic Multi-Hazard Estimation: A Variational Approach with Gaussian Processes and Normalizing Flows—0
Multi-Stakeholder Disaster Insights from Social Media Using Large Language Models—0
UAV-Assisted MEC for Disaster Response: Stackelberg Game-Based Resource Optimization—0
M^2CD: A Unified MultiModal Framework for Optical-SAR Change Detection with Mixture of Experts and Self-Distillation—0
LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused EvaluationCode0
Ship Detection in Remote Sensing Imagery for Arbitrarily Oriented Object Detection—0
ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing—0
Earthquake Response Analysis with AICode0
Lightweight Multimodal Artificial Intelligence Framework for Maritime Multi-Scene Recognition—0
Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT Networks—0
LLMs are everywhere: Ubiquitous Utilization of AI Models through Air Computing—0
The Role, Trends, and Applications of Machine Learning in Undersea Communication: A Bangladesh Perspective—0
FRIDA to the Rescue! Analyzing Synthetic Data Effectiveness in Object-Based Common Sense Reasoning for Disaster Response—0
Socratic: Enhancing Human Teamwork via AI-enabled Coaching—0
The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent SystemsCode0
A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation—0
TRIFFID: Autonomous Robotic Aid For Increasing First Responders Efficiency—0
UAV-Enabled IoT Networks: A SWIPT Energy Harvesting Architecture with Relay Support for Disaster Response—0
A Novel Energy-aware Design for a D2D Underlaid UAV-Aided Cognitive Radio Network—0
Smell of Source: Learning-Based Odor Source Localization with Molecular Communication—0
Can Location Embeddings Enhance Super-Resolution of Satellite Imagery?—0
How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?—0
OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping—0
Deep Self-Supervised Disturbance Mapping with the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter ProductCode0
Leveraging Social Media Data and Artificial Intelligence for Improving Earthquake Response Efforts—0
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