AIMC Topic: Disasters
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Extreme Weather, Vulnerable Populations, and Mental Health: The Timely Role of AI Interventions.
International journal of environmental research and public health
Apr 11, 2025
Environmental disasters are becoming increasingly frequent and severe, disproportionately impacting vulnerable populations who face compounded risks due to intersectional factors such as gender, socioeconomic status, rural residence, and cultural ide...
Advanced susceptibility analysis of ground deformation disasters using large language models and machine learning: A Hangzhou City case study.
PloS one
Dec 12, 2024
To address the prevailing scenario where comprehensive susceptibility assessments of ground deformation disasters primarily rely on knowledge-driven models, with weight judgments largely founded on expert subjective assessments, this study initially ...
Assessment of urban flood susceptibility based on a novel integrated machine learning method.
Environmental monitoring and assessment
Dec 5, 2024
Flood susceptibility assessment is the premise and foundation to prevent flood disaster events effectively. To accurately assess urban flood susceptibility (UFS), this study first analyzes the advantages and disadvantages of multi-layer perceptron (M...
Application of artificial intelligence in triage in emergencies and disasters: a systematic review.
BMC public health
Nov 18, 2024
INTRODUCTION AND OBJECTIVE: Modern and intelligent triage systems are used today due to the growing trend of disasters and emergencies worldwide and the increase in the number of injured people facing the challenge of using traditional triage methods...
Multimodal Social Sensing for the Spatio-Temporal Evolution and Assessment of Nature Disasters.
Sensors (Basel, Switzerland)
Sep 11, 2024
Social sensing, using humans as sensors to collect disaster data, has emerged as a timely, cost-effective, and reliable data source. However, research has focused on the textual data. With advances in information technology, multimodal data such as i...
Editorial: Artificial intelligence solutions for global health and disaster response: challenges and opportunities.
Frontiers in public health
Aug 22, 2024
Quantifying social capital creation in post-disaster recovery aid in Indonesia: methodological innovation by an AI-based language model.
Disasters
Jun 11, 2024
Smooth interaction with a disaster-affected community can create and strengthen its social capital, leading to greater effectiveness in the provision of successful post-disaster recovery aid. To understand the relationship between the types of intera...
Toward QoS Monitoring in IoT Edge Devices Driven Healthcare-A Systematic Literature Review.
Sensors (Basel, Switzerland)
Nov 1, 2023
Smart healthcare is altering the delivery of healthcare by combining the benefits of IoT, mobile, and cloud computing. Cloud computing has tremendously helped the health industry connect healthcare facilities, caregivers, and patients for information...
Rock Crack Recognition Technology Based on Deep Learning.
Sensors (Basel, Switzerland)
Jun 8, 2023
The changes in cracks on the surface of rock mass reflect the development of geological disasters, so cracks on the surface of rock mass are early signs of geological disasters such as landslides, collapses, and debris flows. To research geological d...
Intelligent prediction of rockburst in tunnels based on back propagation neural network integrated beetle antennae search algorithm.
Environmental science and pollution research international
Dec 11, 2022
Rockburst is one of the major engineering geological disasters of underground engineering. Accurate rockburst intensity level prediction is vital for disaster control during underground tunnel construction. In this work, a hybrid model integrating th...
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