2023
DOI: 10.1109/access.2023.3293035
|View full text |Cite
|
Sign up to set email alerts
|

Edge Technologies for Disaster Management: A Survey of Social Media and Artificial Intelligence Integration

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
2
2

Relationship

0
8

Authors

Journals

citations
Cited by 23 publications
(4 citation statements)
references
References 155 publications
0
4
0
Order By: Relevance
“…• Data Analytics and AI: Utilize data analytics and artificial intelligence (AI) to process and analyze the information collected from sensors. AI algorithms can identify patterns, anomalies, and potential disaster triggers, enabling timely responses [119] .…”
Section: Smart Disaster Management: Ensuring Resilience In Buildings ...mentioning
confidence: 99%
See 1 more Smart Citation
“…• Data Analytics and AI: Utilize data analytics and artificial intelligence (AI) to process and analyze the information collected from sensors. AI algorithms can identify patterns, anomalies, and potential disaster triggers, enabling timely responses [119] .…”
Section: Smart Disaster Management: Ensuring Resilience In Buildings ...mentioning
confidence: 99%
“…• Disaster Management: Investment in smart disaster management systems, including early warning systems, evacuation plans, and resilient infrastructure, should be a priority for governments at all levels [119,122,124] .…”
mentioning
confidence: 99%
“…Real-time tracking technologies, such as RFID and GPS, provide continuous monitoring capabilities crucial for the safety and accountability of patients and staff during evacuations (Patel et al, 2022;Misra et al, 2022). AI-based systems, through their ability to process and analyze large volumes of data, offer invaluable support in making quick and informed decisions (Aboualola et al, 2023;Himeur et al, 2023;Damaševičius et al, 2023). These systems can dynamically suggest optimal evacuation routes, manage crowd dynamics, and adapt to evolving emergency conditions, thus enhancing the overall responsiveness of the evacuation process.…”
Section: Implementation Of Real-time Tracking and Aibased Systemsmentioning
confidence: 99%
“…Lee et al [98] expanded on the practicality and effectiveness of utilizing AI as an advisory platform for disaster response based on Big Data and designed an AI advisor platform for disaster response with Big Data-based algorithms. Aboualola et al [99] indicated that the emergency management platform should use social media data as a data source of the platform and combine it with the data perceived by the edge-aware IoT system. Liu et al [100] presented UrbanKG, an urban knowledge graph system incorporating a knowledge graph with urban computing.…”
Section: Intelligent Technologies For Disaster Managementmentioning
confidence: 99%