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Disaster Response

Papers

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Showing 151–200 of 217 papers

TitleStatusHype
Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response—0
TAFormer: A Unified Target-Aware Transformer for Video and Motion Joint Prediction in Aerial Scenes—0
Tales of the 2025 Los Angeles Fire: Hotwash for Public Health Concerns in Reddit via LLM-Enhanced Topic Modeling—0
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models—0
The Role, Trends, and Applications of Machine Learning in Undersea Communication: A Bangladesh Perspective—0
The Viability of Domain Constrained Coalition Formation for Robotic Collectives—0
Towards AI-driven Integrative Emissions Monitoring & Management for Nature-Based Climate Solutions—0
Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning—0
Train and Deploy an Image Classifier for Disaster Response—0
Transformer-based Flood Scene Segmentation for Developing Countries—0
TRIFFID: Autonomous Robotic Aid For Increasing First Responders Efficiency—0
UAV-Assisted MEC for Disaster Response: Stackelberg Game-Based Resource Optimization—0
UAV-Enabled IoT Networks: A SWIPT Energy Harvesting Architecture with Relay Support for Disaster Response—0
Visual-Thermal Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments—0
VLM-RRT: Vision Language Model Guided RRT Search for Autonomous UAV Navigation—0
LLMs are everywhere: Ubiquitous Utilization of AI Models through Air Computing—0
Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models—0
UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs—0
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources—0
ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing—0
ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI—0
Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing—0
Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT Networks—0
Addressing Privacy Threats from Machine Learning—0
A Diffusion-Based Framework for Terrain-Aware Remote Sensing Image Reconstruction—0
ADSumm: Annotated Ground-truth Summary Datasets for Disaster Tweet Summarization—0
Accelerate Coastal Ocean Circulation Model with AI Surrogate—0
A General Purpose Neural Architecture for Geospatial Systems—0
A Hierarchical Variable Autonomy Mixed-Initiative Framework for Human-Robot Teaming in Mobile Robotics—0
AI for Anticipatory Action: Moving Beyond Climate Forecasting—0
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges—0
AirVista-II: An Agentic System for Embodied UAVs Toward Dynamic Scene Semantic Understanding—0
A Machine learning approach for rapid disaster response based on multi-modal data. The case of housing & shelter needs—0
A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation—0
Analysis of Joint Radar and Communication in Disaster Scenarios—0
An Empirical Analysis of AI Contributions to Sustainable Cities (SDG11)—0
A New Multi Objective Mathematical Model for Relief Distribution Location at Natural Disaster Response Phase—0
A Novel Energy-aware Design for a D2D Underlaid UAV-Aided Cognitive Radio Network—0
A Novel Framework for Detecting Important Subevents from Crisis Events via Dynamic Semantic Graphs—0
Applications of Online Deep Learning for Crisis Response Using Social Media Information—0
A Scalable Decentralized Reinforcement Learning Framework for UAV Target Localization Using Recurrent PPO—0
A Social Context-aware Graph-based Multimodal Attentive Learning Framework for Disaster Content Classification during Emergencies—0
Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques—0
A Survey on Uncertainty Quantification Methods for Deep Learning—0
A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPAs LORELEI project—0
ATSumm: Auxiliary information enhanced approach for abstractive disaster Tweet Summarization with sparse training data—0
A Unified Neural Network Model for Geolocating Twitter Users—0
Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning—0
Automated Generation of Interorganizational Disaster Response Networks through Information Extraction—0
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning—0
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